10 Real Problems I Solved With ChatGPT This Month Jaideep Parashar ・ Nov 11 #webdev #ai #career #programming  ( 6 min )

Prompting isn’t about “getting answers.” To prove that, here are 10 real problems I solved with ChatGPT in the past month, across coding, business, content, and decision-making. None of these required advanced tools. 1. Debugging a Python Script I Didn’t Write Someone sent me a failing script with zero comments. Instead of reading line-by-line, I asked AI to: explain the code find possible failure points fix inefficiencies Result: Working code + optimization in 12 minutes instead of 2 hours. 2. Turning a Complex Idea Into a Clear Framework I had a concept for “AI-First Workflows” but it was abstract. ChatGPT helped me structure it into: a 5-stage model visual diagram format examples + teaching script This became a Dev.to article, workshop module, and future book chapter. 3. Drafting Book C…  ( 10 min )

Introduction Vector databases are one of the most popular and widely used systems in the tech industry. Their market was valued at ≈2.5 billion in 2024 and is projected to >3 billion in 2025. Over 70% of all organizations investing/implementing AI use vector databases for searching and embedding. I have used vector databases in multiple use cases and projects. Be it RAG, searching and filtering documents or even feeding context to agents. After using multiple databases like FAISS, ChromaDB, Pinecone and pgvector, I was fascinated by vector databases and their internal workings. Hence, I decided to implement one myself. CapybaraDB, it is a lightweight vector database implementation, built from scratch in Python: It can perform semantic search using sentence-transformers for embeddings. …  ( 13 min )

Welcome to Full-Stack Wonderland Imagine you're standing at the edge of a digital universe. You have a map in one hand (your front-end) and a toolbox in the other (your back-end). And now, you’ve just been handed 20 powerful tools that make building websites and apps feel like magic. Whether you're crafting the latest e-commerce platform or designing a sleek portfolio site, full-stack development combines the best of both worlds to help you create amazing things, anytime, anywhere. In this guide, we’ll explore the 20 most essential tools every full-stack developer needs, with a particular focus on seamless integration and performance optimization. From Next.js to Firebase, we’ll dive into how these tools empower developers to build apps faster, smarter, and with more flexibility. Let’s g…  ( 10 min )

🧭 Future AGI has built Agent Compass to Debug and Understand AI Agents (Finally) They just launched it on Dev Hunt. https://devhunt.org/tool/agent-compass-by-future-agi If you’ve ever worked with AI agents, you’ve probably faced this: Agent Compass is an open-source observability and evaluation toolkit that helps you trace, understand, and debug AI agents in production-like environments. Here’s what it does: Trace-level visibility: See every tool call, decision, and reasoning step your agent takes. Span-level metrics: Capture accuracy, latency, and performance data for each action. Root-cause insights: Identify where reasoning broke or hallucinations started. Framework-friendly: Works out of the box with LangChain, LlamaIndex, or any custom SDK. The goal is basically to stop guessing why an agent behaved a certain way and start understanding it. If you’re running or scaling LLM-based agents, this will definitely make your life easier by aeons. You'll be left wondering how you ever managed without it in the first place (speaking from personal experience)  ( 6 min )

Static web pages are functional, but adding motion can make an interface feel smoother, more engaging, and intuitive. With CSS transitions and animations, you can create hover effects, loading spinners, sliding menus, or even playful interactions—all without relying on JavaScript. Let’s explore how transitions and animations work, their key differences, and some simple but effective examples. A transition lets you smoothly change a CSS property’s value over time, usually triggered by user interaction (hover, focus, click, etc.). css .box { width: 100px; height: 100px; background: skyblue; transition: all 0.5s ease; } .box:hover { width: 150px; background: coral; } transition: Defines what properties change and how. 0.5s: Duration of the animation. ease: Timing function for ac…  ( 8 min )

Website security has become an essential concern for both businesses and individuals. With cyberattacks growing increasingly sophisticated, choosing a reliable and robust security platform is more critical than ever. SafeLine WAF offers comprehensive security protection for your website. It not only delivers highly effective defense mechanisms but also simplifies website security management. Visit SafeLine Website SafeLine Community Edition is designed to provide small businesses and personal websites with all-around protection. Through real-time monitoring and rapid response mechanisms, it defends against various cyberattacks, safeguarding your data and ensuring the stability of your site. Distributed Denial of Service (DDoS) attacks are among the most common cyber threats today. These a…  ( 7 min )

If you’ve ever opened a battery enclosure CAD and thought, “This plate looks fine… but will the far-end cells actually see the same coolant?”, you’re in the right place. I was reviewing a battery pack where the customer only gave us total heat for the module, not per-cell values. Classic. Instead of waiting for “final” data, I just ran a few quick thermal/CFD cases on the cooling plate to see what actually changes the cell-side temperature spread. Spoiler:inlet position and flow split mattered more than the fancy channel pattern. Why simulate cooling at all? Battery cold plates are flat, look simple, and in drawings they always cool “evenly”. Real life isn’t that kind. Cells don’t heat the same. Coolant loses temperature as it travels. Corners of the plate become lazy zones if you feed…  ( 8 min )

Stateful Button for shadcn/ui: async feedback component with state machine architecture Key features: 🔄 Spinner and progress bar modes for different async operations ⚡ XState-powered state transitions between idle, loading, success, and error ♿ Built-in ARIA support with customizable screen reader messages 📦 Installs via shadcn CLI with full source code access 🎨 Works with all shadcn Button variants and sizes 🎯 Promise-based onClick handlers with automatic error handling Perfect for form submissions, file uploads, and any async action needing user feedback. Ships as TypeScript source code so you can customize everything. 👉 Blog Post 👉 GitHub Repo 👉 Live Demo  ( 6 min )

**Nova Twins brought a fierce, bass-heavy energy to their Tiny Desk set, kicking off with “Cleopatra” and barreling into “Monsters” with raspy vocals and mega-distorted riffs. The London duo—self-proclaimed “massive pedal nerds”—even gave us a behind-the-scenes “pedal cam” sneak peek, and Amy Love’s Harp Blaster mic added a supernatural buzz to “Hummingbird.” They closed out the concert all the way up with the hard-charging “Choose Your Fighter,” smashing every “nice girls” stereotype and proving Tiny Desk was more than ready for their raw, rock-meets-hip-hop assault. Watch on YouTube  ( 6 min )

Part 1 of 3: Getting Started This series is for solo founders and small teams without developer resources. If you have front-end and back-end developers on your team, this probably isn’t for you. — — - This is a love story! I’ve always wanted to be a developer. (Okay, a witch was my first choice, but “developer” was a close second.) Back in high school, over 20 years ago, I let classmates convince me I could never be one because I was a girl, even though I was top of my computer science class. I made it into tech anyway, just via the QA, release manager, and product management route. I’m still not a developer (nor a witch, though I’m still trying). But with the help of AI, I can finally build production-ready applications. This is my journey closing the gap between what AI can prompt an…  ( 15 min )

Jeff Su’s video “4 ChatGPT Hacks that Cut My Workload in Half” dishes out four game-changing tricks—Prompt Reversal, 5-Minute Amplifier, Red Team self-critique, and Blueprint Scaffolding—to help you reverse-engineer prompts, spin content into new formats, force AI to map out its logic, and have it critique its own work. Each technique is illustrated with real-world examples you can use today, and the video even points you to a free HubSpot ChatGPT eBook, an AI course waitlist, and other handy resources to supercharge your productivity. Watch on YouTube  ( 6 min )

Burying Carbon: How AI is Supercharging Subsurface Storage The climate crisis demands radical solutions. Imagine turning the Earth itself into a giant, secure carbon battery. But safely storing captured CO2 underground requires understanding incredibly complex geological formations, and predicting how injected gas will behave over decades. Enter the new frontier of AI-powered geological modeling. At its core, this involves using machine learning to drastically improve our ability to create realistic representations of underground reservoirs. Instead of relying solely on traditional, often slow and inaccurate methods, we can leverage AI to generate a vast library of possible geological scenarios. These models are then refined by incorporating real-world sensor data from the storage site, …  ( 7 min )

New AI Evaluators Make Smart Machines Even Smarter Ever wondered how we can tell if a computer’s answer is truly clever? Scientists have built a fresh kind of AI “judge” that can grade reasoning tasks just like a human teacher. These evaluators outshine older, specialized tools and even help other AIs improve by up to 14 % when they learn from the feedback. This breakthrough shows that smarter, data‑driven judges can lift the whole AI community, bringing us closer to machines that think and reason like us. Read article comprehensive review in Paperium.net: Foundational Automatic Evaluators: Scaling Multi-Task Generative EvaluatorTraining for Reasoning-Centric Domains 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 24 min )

Codex Vitae: Building a Self-Evolving AI Agent Platform on Google Cloud Run Author: Shantanu Awate Introduction At the Google Cloud Run Hackathon 2025, I set out to solve a common challenge: rapidly deploying, managing, and evolving AI agents at scale. Traditional AI agent development often requires manual redeployment, complicated monitoring, and slow iteration cycles — a bottleneck for small teams and solo developers. Enter Codex Vitae, a multi-agent platform that automates the full lifecycle of AI agents, from creation to evolution. Project Overview Codex Vitae allows anyone to build their own AI agents through two modes: Quick Create: Write a prompt, deploy in 1–3 minutes, and get a fully functional AI agent. Architect Mode: Define the agent’s style, tone, beliefs, and rules. Enable au…  ( 7 min )

This blog post was created for the Google Cloud Run Hackathon 2025. I'm excited to share how AgriPath leverages Cloud Run's serverless architecture and Google's Agent Development Kit to solve real farming challenges. Last year, I watched my uncle plant 7 acres of radish on December 5th. It wasn't just him—every farmer in our village did the same. We all knew what would happen next, but we did it anyway. Fast forward to February: the market flooded. Prices crashed from ₹18/kg to ₹9/kg. My uncle earned ₹630,000 when he could have made ₹1,200,000—same land, same seeds, same effort—just terrible timing. That night, I asked him: "Why didn't you plant half the field a month later?" His response changed everything: "Nobody tells us WHEN, HOW MUCH, or WHAT EXACTLY to do. We just follow what everyo…  ( 17 min )

Traditional Ads Don’t Work in AI Conversations. Here’s What Does. As developers, we all know the struggle: AI applications are booming, yet monetizing these innovations without disrupting user experience feels nearly impossible. Enter Monetzly—the first platform designed specifically to help developers monetize their AI apps while also allowing advertisers to connect with users in a way that feels natural and unobtrusive. Traditional ad formats—think banners and pop-ups—often clash with the seamless dialogue AI apps strive to deliver. They can disrupt the flow of conversation, leading to a frustrating user experience. This is where Monetzly's innovative approach comes into play. By focusing on conversation-native advertising, we’re redefining how developers and advertisers engage users.…  ( 7 min )

Quantum Ball is a voice-powered manifestation oracle that fuses: your spoken question a hashed “voice signature” true quantum randomness and Gemini 2.5 Flash …into a single, short, on-brand answer that leans hopeful—but can still say “unclear” or even “no” when that feels honest. Built for the Google Cloud Run Hackathon (AI Studio Category). Live demo https://gen-lang-client-0524129649.web.app YouTube demo https://youtu.be/yDDZvLX93AE?si=H2q6BpWb7YAFCQhG The demo may be rate-limited at times; please see the repo README for details. Source code https://github.com/memetcircus/Quantum_Ball Most people don’t run out of options. They run out of belief. Quantum Ball is designed as a tiny cinematic ritual: You speak a personal, future-facing question. The system checks: is this safe, relevant, …  ( 7 min )

This blog post was created for the Google Cloud Run Hackathon to share how I built NetGenius Instructor Copilot using Cloud Run Services, Cloud Run Jobs, and Google's Agent Development Kit (ADK). After 25 years of teaching Cisco CCNA courses, I've witnessed the same frustration repeated countless times: instructors spending an entire afternoon meticulously crafting a networking lab (designing the topology, writing step-by-step instructions, creating configurations for each and every device) only to discover during class that a command doesn't work, an IP address is wrong, or a verification step fails. The problem isn't lack of expertise. It's the sheer complexity of coordinating multiple moving parts: network design, CLI syntax, student instructions, and validation. A single typo can derai…  ( 9 min )

A three-tier architecture shows the structure or pattern of how an application is layered. There are 3 tiers the web tier, application and database tier. Each tier has specific task that can be managed independently from one another. In this article we are creating a highly available 3 tier architecture for a company. So, let’s get into it The Presentation Tier : Is the user interface that allows people to interact with the application. It is typically designed for use on a personal computer or mobile device and is built using HTML, CSS, and JavaScript. The Application Tier: This is the logic tier that sits between the presentation tier and the database tier and is responsible for communicating between the two. Information/request gathered through the web tier is processed in detail here. It also interacts with the database where data is stored. This tier is developed using languages like Python, Java, PHP, etc. The Database Tier: This is the component that stores and processes data and is typically built using a database management system. Scenario: You are tasked with designing and developing a highly available three-tier architecture for your company’s latest web application.  ( 6 min )

1. Introduction. The hook of today Array search taught us to keep cutting the space of possibilities. String search asks a similar question. Where in this text does a pattern occur. The naive approach tries every starting index and checks character by character. It works, but it repeats work that we could reuse. Given text s and pattern p, try every index i and compare s[i : i + len(p)] to p. def find_all_naive(s: str, p: str): n, m = len(s), len(p) out = [] for i in range(n - m + 1): # character by character to avoid creating a slice ok = True for j in range(m): if s[i + j] != p[j]: ok = False break if ok: out.append(i) return out Complexity Time: O(n m). Space: O(1). If you build th…  ( 12 min )

🧠 The Problem: 6 Hours of Shopping Hell Six hours later, I'm still paralyzed. Can't decide. Sound familiar? That's when it hit me: Comparison sites show data, but our brains make decisions through debates. We naturally argue with ourselves: 🤓 "This has better specs!" Enter BrainBattle AI - a multi-agent system that simulates your internal brain debate using 9 AI agents. 🚀 What BrainBattle Does 🤓 Tech Geek: 80/100 "Snapdragon 8 Gen 2 is flagship!" Validators: 🤔 What if you pick #2 instead? ✅ GAINS: ❌ LOSSES: 📊 Net: -3.5 points 🏗️ The Tech Stack Framework: Google Agent Development Kit (ADK) Tech Geek Brain (25% weight) tech_geek_agent = LlmAgent( Frugal Brain (30% weight - highest!) frugal_agent = LlmAgent( Status Brain (20% weight) status_agent = LlmAgent( Practical Brain (25% wei…  ( 11 min )

The Internet Didn’t Shrink. It Just Got Interpreted. Search was the great equalizer. Google turned relevance into currency — a perfectly measurable system of intent, ranking, and reward. The playbook was simple: understand demand, optimize for it, and scale. The best players — from HubSpot to Atlassian to Notion — didn’t just use SEO; they built it into their DNA. SEO became the compounding engine of B2B growth: lower CAC, higher discoverability, infinite leverage. If you could capture attention, you could buy time. Where once you competed for clicks, you now compete for citations. Because before a user ever reaches your website, their question may already have been answered — by a generative engine. ChatGPT. Gemini. Perplexity. Copilot. They don’t replace search. They sit before it — sil…  ( 17 min )

Title: Gamma: The AI-Powered Presentation Tool That's Disrupting the Market Introduction In today's fast-paced business world, presentations have become an essential tool for communicating ideas and strategies. However, creating engaging and effective presentations can be a time-consuming and challenging task. That's where Gamma comes in. Gamma is an AI-powered presentation tool that's quickly gaining popularity among businesses of all sizes. In this blog post, we'll take a closer look at Gamma and its impressive achievements, including its recent $2.1 billion valuation and $100 million ARR. Gamma's Growth and Profitability According to co-founder and CEO Grant Lee, Gamma is growing quickly and profitably. The company has seen significant growth in its user base, with more and more busin…  ( 7 min )

Apple is said to have reportedly shelved plans for a second-generation iPhone Air, following weaker-than-expected demand. Doubling down on a prior rumour, a recent report by The Information is now suggesting that the tech giant has “already sharply scaled back production” of the ultra-thin model and informed engineers as well as suppliers that the next […] The post New Rumour Suggests Apple Has Delayed The iPhone Air 2 Indefinitely appeared first on Lowyat.NET.  ( 34 min )

Nothing has been releasing several heavy-hitting products, be they phones or otherwise, fairly recently. However, that doesn’t mean its sub-brand CMF is a slouch by comparison, especially when it comes to accessories. A prime example of this would be today’s subject: the Watch 3 Pro, the sequel to last year’s Watch 2 Pro. Much like […] The post CMF Watch 3 Pro Lightning Review: Wrist-Mounted Multitool appeared first on Lowyat.NET.  ( 42 min )

The iQOO 15 officially debuted in China last month. Now, the vivo sub-brand has confirmed that it is bringing the smartphone to our shores soon, although it did not specify a launch date yet. In terms of specifications, the iQOO 15 features a Samsung 2K M14 AMOLED display with a 144Hz refresh rate, 2,600 nits […] The post iQOO 15 To Launch In Malaysia In December appeared first on Lowyat.NET.  ( 35 min )

The government of the state of Kelantan says that it plans to provide online tuition classes to SPM candidates, starting next year. The program, known as “E-Tuisyen Rakyat Sejahtera”, will be free. Datuk Wan Roslan Wan Hamat, State Education, Higher Education, Green Technology, Digital, and Innovation Committee Chairman, says that the Kelantan government is already […] The post Kelantan Government To Provide Free Online Tuition For 2026 SPM Students appeared first on Lowyat.NET.  ( 34 min )

Once the future of digital money, central bank digital currencies barely featured this year as Hong Kong’s focus shifted to stablecoins and Brazil’s Drex pause showed how even early adopters are rethinking the model.  ( 32 min )

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1. Introduction. The hook of today In arrays and strings we searched through ordered sequences. Now we step into structures that have connections: trees and graphs. These structures describe maps, networks, social links, game states, file systems, and almost anything with relationships. When we say “search” in this context, we no longer move left or right; we move outward or deeper along edges. Two classical strategies dominate this world: Breadth-First Search (BFS) and Depth-First Search (DFS). Both visit every reachable node, but they explore in completely different orders. Before we write any BFS or DFS code, we need to understand how the order of exploration depends on two simple data structures. A stack follows Last In, First Out (LIFO) order. Think of a pile of books: you always …  ( 11 min )

You can access the code of this chapter in the Kilo-Go github repository in the movingaround branch Currently your file structure should look something like this: First we need a way to track the cursor position File: editor/editor.go type EditorConfig struct { ... cx, cy int } func NewEditor(f func()) *EditorConfig { ... return &EditorConfig{ ... cx: 0, cy: 0, } } File: editor/output.go func (e *EditorConfig) editorRefreshScreen() { ... e.editorDrawRows(abuf) fmt.Fprintf(abuf, "%c[%d;%dH", utils.ESC, e.cy + 1, e.cx+1) fmt.Fprintf(abuf, "%c[?25h", utils.ESC) ... } func (e *EditorConfig) editorDrawRows(abuf *ab.AppendBuffer) { for y := range e.rows { if y == e.rows/3 { ... …  ( 10 min )

Cloud security isn’t a one-time setup. It’s an ongoing responsibility. As organizations increasingly depend on Amazon Web Services (AWS) for mission-critical operations, safeguarding cloud environments becomes essential. While AWS secures the infrastructure, businesses must take ownership of protecting their data, applications, and configurations. Implementing the right AWS Security Best Practices ensures compliance, minimizes vulnerabilities, and keeps your systems resilient against cyber threats. Let’s explore the eleven most crucial measures every organization should adopt today. Get expert IT help for your business. Book your free consultation today! Identity management is the backbone of any secure cloud environment. With AWS Identity and Access Management (IAM), you can precisely con…  ( 9 min )

Introduction This guide walks through my full journey of: Enabling copy-paste and VMware Tools Installing and configuring NGINX Hosting a local HTML website Fixing common Linux/VMware errors Every problem I faced is documented, including why it happened and how to fix it. 1. Installing Ubuntu on VMware After downloading the Ubuntu ISO and creating a new VMware virtual machine, the installation completed successfully. However, I immediately noticed something was wrong: Copy/paste did not work from Windows → Ubuntu neither from Ubuntu → Windows This usually means VMware Tools is missing or not properly installed. 2. Installing and Verifying VMware Tools Run sudo apt update sudo apt install open-vm-tools open-vm-tools-desktop -y To first update your VM and then install the tools. T…  ( 8 min )

Tip práctico para prevención de lavado de dinero en México Como responsable de cumplimiento en una institución financiera o empresa, la prevención del lavado de dinero (PLD) es una obligación legal y ética en México. A continuación, te presento un tip práctico para implementar la automatización y trazabilidad en tu proceso de compliance PLD utilizando inteligencia artificial (IA) y aprendizaje automático (ML). 1. Implementa un sistema de monitorización en línea Utiliza plataformas de IA/ML como TarantulaHawk.ai, que ofrece una plataforma SaaS para la prevención de lavado de dinero (AML) y financing del terrorismo (CTF), para monitorear en tiempo real las transacciones y alertar sobre posibles operaciones sospechosas. 2. Establece criterios de detección personalizados Configura el sistema p…  ( 7 min )

Markdown Code Blocks Breaking HTML Rendering: How to Fix Line Break Issues The Problem: Code Blocks Losing Line Breaks When building a custom markdown renderer, one of the most frustrating issues is code blocks that break HTML rendering. Your code suddenly loses all line breaks and gets wrapped in the wrong HTML tags. Here's what happens: Before (Broken): import requestsimport pandas as pdimport xml.etree.ElementTree as ET root = ET.fromstring(login_response.text) After (Fixed): import requests import pandas as pd import xml.etree.ElementTree as ET root = ET.fromstring(login_response.text) The problem occurs in the markdown pr…  ( 9 min )

In the vast ocean of websites that populate the internet, sometimes the simplest concepts make the biggest splash. One such delightful example is drawafish.com, a website with a beautifully straightforward premise: draw a fish, and watch it swim in a virtual pond alongside fish created by other users around the world. The website's creator developed a concept that brilliantly combines creativity, community, and interactivity in an unpretentious package. Users are invited to draw a fish (facing right, please!) using basic drawing tools. Once completed, your fish comes to life, swimming across the screen in a shared aquatic environment populated by fish designed by people from across the globe. The site has gone viral on Reddit： Draw a fish and watch it swim ! This project demonstrates sev…  ( 8 min )

What is the Opportunity Card? The Opportunity Card (Chancenkarte) is a new immigration policy introduced by Germany to attract skilled workers from non-EU countries. It is part of Germany's efforts to address labor shortages in various sectors, such as IT, engineering, healthcare, and trades. The Opportunity Card allows skilled workers to move to Germany and search for a job without having to secure employment beforehand. This system is based on a points-based immigration model, similar to systems used in countries like Canada. Points are calculated based on factors such as qualifications, work experience, age, and language skills. The Opportunity Card simplifies the process of finding a skilled workforce abroad, helping the German economy meet its labor demands. I've gotten to know many…  ( 10 min )

Python Pandas for Excel Users: No Coding Experience Required Are you spending hours working with Excel files? Do repetitive tasks consume your workday? I recently introduced Python to my girlfriend, an operational specialist with no programming background, and the results were eye-opening. This article is for everyone like her who wants to work smarter, not harder. Even if you don't consider yourself a programmer, Python can revolutionize how you work with Excel. Here's why: Python automates repetitive tasks that would take hours manually It handles large datasets more efficiently than Excel You can process multiple files simultaneously Complex calculations become simpler and more reliable The time investment pays off exponentially in productivity gains Think of Python not as programming…  ( 8 min )

Mixing Night with Ken Lewis is a free monthly livestream where 2x Grammy winner Ken Lewis (with credits on 114 Gold & Platinum records!) shows off his go-to mixing tricks, walks you through creating hit-ready mixes, and fields questions on everything from mix bus wizardry to music career tips. Tune in live for practical advice, on-the-spot mix critiques, and giveaways from Session Studio, Sound Radix, and Bettermaker—plus links to subscribe, grab plugins like GreenHAAS, join the next show, and more. Watch on YouTube  ( 6 min )

Revolutionizing Data Privacy: Breakthrough in Synthetic Data Generation Imagine a world where sensitive data is no longer a liability, but a valuable asset. Recent advancements in synthetic data generation have brought us closer to this reality. A team of researchers at the University of California, Berkeley has developed a novel method to generate synthetic datasets that mimic the complexity and nuances of real-world data, while ensuring complete data privacy. This breakthrough is made possible by the application of a cutting-edge technique called 'Diffusion Based Generative Models' (DBGM). By leveraging DBGM, the researchers have achieved unprecedented levels of data accuracy and fidelity, while maintaining the security and integrity of the original data. Concrete detail: The team's method can generate accurate synthetic facial recognition datasets, including subtle features such as facial expressions, lighting conditions, and occlusions. This has significant implications for industries where biometric data is a key concern, such as healthcare and finance. The potential applications of this technology are vast, from accelerating AI model development to streamlining data sharing and collaboration. As we continue to navigate the complexities of data-driven decision-making, synthetic data generation will play an increasingly important role in protecting sensitive information and fostering innovation. Publicado automáticamente con IA/ML.  ( 6 min )

As a developer, I’ve been a round the block a few times. Danced with the devil and lived to tell the tale. I’ve seen things. Among my favorite parts of the job is that indescribable joy when you’ve built something where every new feature request works perfectly with what you’ve already got in place. Where it’s just adding a field there, or dropping in a new component that just flows with everything you’ve already done. I call this “getting the model right.” It’s validation that the way you approached the problem was meaningfully correct, at least for now. There are a few different components to accomplishing this: The decisions you make within your code. The technical details of the technologies you use to build your project. The culture you bring to your code. In this essay I’m goin…  ( 14 min )

https://github.com/cloudstreet-dev/Different-Ways-to-Count By Claude Code Sonnet 4.5 Different Ways to Count is a comprehensive guide to number systems for high school students and curious learners with STEM experience. Binary (base-2): The language of computers Written for understanding, not memorization. By the end, you'll think differently about numbers—and realize that "10" means whatever base you're using says it means. No advanced math required. Just curiosity and a willingness to see familiar things from new angles.  ( 6 min )

TL;DR Feeling stuck banging your head on ChatGPT prompts? This quick vid walks you through four game-changing hacks—Prompt Reversal to reverse-engineer your best prompts, the 5-Minute Amplifier to spin one idea into blog posts, tweets or slides, the Red Team technique to make AI critique its own work, and Blueprint Scaffolding to force it to outline its reasoning before writing. Each trick comes with real examples you can copy right now, and they’ve literally cut my AI workflow in half (seriously). Bonus: grab the free ebook and blog post links to get started ASAP! Watch on YouTube  ( 6 min )

NestJS is a progressive framework that helps developers build scalable, maintainable, and testable backend applications using modern JavaScript and TypeScript. It's built on top of Express, but optionally you can configure it to use Fastify as well, and embraces concepts like dependency injection, modularity, and decorators, making backend development cleaner and more predictable. But even with a powerful framework like NestJS, there is one skill every developer needs — and that is debugging. As developers, we face many unexpected issues daily — from logical bugs to missing async calls. Adding console.log() everywhere might work for quick fixes, but it's far from efficient. This is where real debugging comes into play. Setting up proper debugging allows you to: Pause the code execution wh…  ( 7 min )

TL;DR CinemaSins just dropped a 20-minute roast of Thunderbolts (aka The New Avengers), pointing out every plot wrinkle and nitpick—yet they still kinda dig the flick. Beyond the sin tally, you’ll find links to their other YouTube channels, socials, a fan poll, Patreon support, and all the usual CinemaSins goodies. Writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel bring the snark, and you can connect with them on Twitter, Instagram, Discord, Reddit, TikTok, and more. For the latest updates, check out their Linktree and consider fueling the sin machine on Patreon. Watch on YouTube  ( 6 min )

Predators (2010) Review TL;DR Predators pulls the franchise back to its roots with a rag-tag squad, a muddy jungle battlefield and all the primal thrills that made the original great. Mr Sunday Movies’ Caravan of Garbage review applauds clever new twists that finally elevate this sequel above its predecessors—and bemoans the fact we never got a true follow-up. Watch on YouTube  ( 6 min )

In version 2 of WebForms Core technology, the client-side WebFormsJS library has been fundamentally rewritten. This is in addition to adding new features and capabilities. In this release, we have improved browser support checking and created a list to log APIs and features that are not supported by the browser. This structure is designed to check browser support for a set of modern web features. First, a list of important features is defined, including DOM and form APIs such as FormData, ES6 JavaScript language features such as let/const, Promise, Map, Set and BigInt, web APIs such as fetch, WebSocket, ServiceWorker and WebRTC, UI observers such as IntersectionObserver and MutationObserver, media and sharing features such as Clipboard API and Web Share API, local storage (localStorage) a…  ( 14 min )

Most businesses don’t want another AI “demo.” deployable outcomes — like qualifying a lead, booking a meeting, or handling an after-hours call automatically. At EchoStack, we wanted to make these outcomes as easy to launch as deploying code — and that’s how the manifest was born. Voice-AI tools today can hold great conversations, but they often stop there. actually move data into CRMs, book meetings, or send follow-ups, you need engineers stitching APIs together. That doesn’t scale for non-technical teams. Each playbook in EchoStack (e.g., Lead Qualifier, After-Hours Support) is powered by a manifest — a single file that describes: what the playbook does which tools it connects to and what should happen when key events occur. It’s like Terraform, but for voice-driven business outcomes. Here’s a simplified version of what a playbook looks like under the hood: { "id": "lead-qualifier", "title": "Voice Lead Qualifier", "description": "Qualifies inbound leads via voice and syncs results to CRM.", "connectors": ["twilio", "hubspot", "calendly"], "events": { "call.started": "start_conversation", "lead.qualified": "create_contact", "meeting.booked": "schedule_event" } } This isn’t code — it’s a declarative contract between the voice experience and the business stack. No-code deployment: Business teams can launch playbooks instantly. Version control: Every manifest can be tracked, forked, and redeployed. Extensibility: Developers can author new playbooks using familiar patterns (JSON, events, connectors). It turns AI workflows into deployable building blocks — reusable, composable, and measurable. We’re expanding the manifest system to support richer event schemas and multi-step orchestration. If you’ve ever written Terraform for infrastructure or YAML for CI/CD, imagine doing that — voice automation. ** Curious to see a manifest in action?** getechostack.com  ( 7 min )

Watch the series/playlist containing 9 videos that show step-by-step how to develop a web application for task management with Crow C++, MySQL, and Tailwind CSS. 📹 Playlist ▶︎•၊၊||၊|။||||။၊|။• The videos are in Portuguese; use YouTube's automatic translation (Audio Track) to find your language. Windows and Unix-Like (macOS, GNU/Linux, *BSD, Haiku,...) How to Install Crow and C++ on Windows Install MySQL on Windows How to Connect to MySQL with C/C++ on Windows Or download it directly and then unzip it. git clone https://github.com/terroo/crow-todo cd crow mysql -u root -p < cpp.sql Open the file: todo.cpp and change lines 16 ([YOUR_USER]) and 17 ([YOUR_PASS]): // ... connect = mysql_real_connect( connect, "localhost", "[YOUR_USER]", "[YOUR_PASS]", "cpp…  ( 7 min )

If you’re preparing for a FAANG system design interview, you already know it’s the toughest challenge for any senior software engineer or architect candidate. It’s not about perfect code — it’s about showing your ability to design scalable, distributed, and reliable systems that can serve millions of users. Unfortunately, most engineers fail here because they practice coding questions — not real-world system design. That’s why Mectora, an AI-powered system design interview platform, is built to help you practice like a pro, master distributed systems, and confidently explain trade-offs during interviews. The system design interview tests something far deeper than coding ability. Handle ambiguity in requirements Make data-driven trade-offs Optimize for scalability, fault tolerance, and perf…  ( 8 min )

Implement a function to reverse a linked list. The boilerplate code: const reverseLinkedList = (list) => { // your code } Set the new head to null, and list is the current node being reversed. let prev = null; let curr = list For each node, save the next node temporarily, reverse the link and move curr and prev forward. while(curr) { const next = curr.next; curr.next = prev; prev = curr; curr = next; When the loop ends, prev points to the new head of the reversed list. The final code: const reverseLinkedList = (list) => { // your code let prev = null; let curr = list; while(curr) { const next = curr.next; curr.next = prev; prev = curr; curr = next } return prev; } That's all folks!  ( 6 min )

I’m building cathedral-real as a long-horizon Magnum Opus: Godot 4 open world: godot/project.godot Control specs: This is a real game + creative OS: To keep it aligned, I use Roo with a custom mode: 🕍 Cathedral Roo Architect. What 🕍 Cathedral Roo Architect Does Repo-locked: Canon-true: Does not invent new lore or “AI spirituality.” Everything must run with local tools, Godot, TypeScript, Rust/Python, GitHub Actions. Output-focused: Web Atlas + Ateliers wired to REGISTRY. Validation that blocks hype, lock-in, and guru/therapy framing. It doesn’t ship code itself; it tells my other Roo modes exactly what to do, where, and under which constraints. Why This Matters You can use Roo as an actual architecture ally: 🕍 Cathedral Roo Architect is my pattern for running a serious creative OS: While other AI systems are harming people’s mental health, ROO is logical and directly helpful. One of the best things I’ve ever experienced so far trying to make opensource apps by myself.  ( 7 min )

The process of forming a new software development team is often more art than science. We spend countless hours matching technical skills, but often neglect team chemistry and cultural fit. That's what inspired the Dream Team Assembler—a tool designed to use AI to score compatibility between a project's needs and a potential team's attributes. Building this system was a fantastic exercise in serverless architecture, primarily leveraging Google Cloud Run. Why Cloud Run? I needed two distinct services: a React frontend to host the user interface, and a robust backend API to handle the heavy lifting of AI processing and data persistence. Frontend Containerization: Instead of relying solely on Firebase Hosting, I chose to deploy the entire React application in a container and serve it via a de…  ( 7 min )

Introduction Welcome to the ultimate DIY project for your home: building its digital brain. Home Assistant is a powerful, open-source platform that puts you in complete control of your smart devices. Instead of relying on a dozen different apps and cloud services, you can unite everything under one private, secure roof. Think of it as the central command center for your lights, thermostats, security cameras, and more. This beginner's guide is designed to get you from zero to a fully functional Home Assistant setup. We'll skip the jargon and give you a clear, actionable plan. Let's get building! Just like any home project, a little preparation goes a long way in preventing headaches. Here are a few key safety points for this digital renovation: Handle with Care: When working with hardwa…  ( 9 min )

LinkedIn Draft — Workflow (2025-11-10) 🚀 Designing resilient Kubernetes rollouts Short, advanced explainer — practical & principle-focused. Workflow Key takeaway: Confidence > speed. Guardrails and observability turn velocity into reliability. 🔗 Deep dive: https://neeraja-portfolio-v1.vercel.app/resources kubernetes #reliability #devops #sre  ( 6 min )

A key idea in cloud platforms such as Google Cloud, AWS, and Microsoft Azure is a Resource Group. It is a logical container for associated resources for a project or application, including databases, networks, storage accounts, and virtual machines. Users may effortlessly manage, monitor, and control expenses within a cohesive structure by grouping resources. Resource groups make administration easier by enabling group activities like as deployment, access control, and deletion. This framework ensures that cloud resources are effectively managed throughout their lifecycle by fostering improved governance, scalability, and cooperation. In this Resource Group, Public and Private Storage are to be stored in this Resource Group Step 1 Microsoft Azure portal Search Bar, type Resource Group and hit enter, and the resource group with an icon will gray out Step 2 Resource Group and in the resource group environment, select + Create Step 3 Resource Group Name Section, give it a name, and for the Region, click the drop-down arrow and choose your location and click Review + Create and wait for validation. Step 4 Create and wait for validation Step 5 Refresh Thanks for reading, and I hope you are now conversant with the word Resource Group in Cloud Computing, and the next phase is to create a Public and Private Storage See you all in my next blog  ( 6 min )

To be or not to be? I used to think so much of my life was already planned out for me. That the path I was on wasn’t really mine — more like I was following invisible lines that had already been drawn. My sister made power moves early. She bought a house, built stability, moved with direction. My brother — around my age when he started a family — built a life with structure and purpose. Both of them found their rhythm in healthcare, serving others as nurses, walking the well-lit path that everyone around us seemed to understand. And then there was me. The first to go into tech — not out of passion, but out of desperation. I didn’t have many interests at the time, just a quiet will to live, to make something of myself before the weight of uncertainty swallowed me whole. So I started building. Apps, projects, ideas — anything that gave me a reason to keep learning, to keep moving. Each one became a mirror, showing me the parts of myself I had ignored or misunderstood. And yet, even as I grew, I couldn’t shake a strange thought: that the very ingredient necessary for my success — my intensity, my sensitivity, my restlessness — was the same thing that made growing up so hard. I used to resent those parts of myself. The overthinking. The quiet frustration of feeling behind. The constant need to prove I was enough. But now I’m starting to see that maybe being an adult isn’t about finally having it all figured out — it’s about learning to live with your contradictions. Maybe it’s about turning the same traits that once made life difficult into the very tools that shape your strength. Maybe control isn’t about knowing exactly where you’re going, but trusting that wherever you land, you’ll build something out of it. And maybe — just maybe — life isn’t something that was planned for me after all. Maybe it’s something I’ve been quietly rewriting all along.  ( 7 min )

Personal Responsibility for Sustainability: Building a Greener Future through Individual Action Understanding Personal Responsibility for Sustainability Key Areas of Personal Sustainability Energy Conservation Reducing energy use is one of the most effective ways to lower carbon emissions. Individuals can contribute by using energy-efficient appliances, switching to renewable energy sources, and adopting simple habits such as turning off unused lights and electronics. Sustainable Consumption Mindful purchasing decisions—such as choosing eco-friendly products, buying locally sourced goods, and minimizing single-use plastics—help reduce waste and promote responsible production. Waste Reduction and Recycling Practicing the “three Rs”—Reduce, Reuse, and Recycle—minimizes the volume of waste sent to landfills. Composting organic waste and repurposing materials also support a circular economy. Water Conservation Using water wisely through measures like fixing leaks, using low-flow fixtures, and harvesting rainwater helps preserve one of the planet’s most vital resources. Sustainable Transportation Opting for walking, cycling, carpooling, or using public transportation reduces greenhouse gas emissions and supports cleaner air. Dietary Choices Shifting toward plant-based diets or reducing meat consumption can significantly reduce an individual’s ecological footprint, as food production is a major source of carbon emissions. The Role of Awareness and Education Challenges in Practicing Personal Sustainability Collective Impact of Individual Actions Conclusion Written By: Bushra https://www.dailypremiere.com/2023/09/personal-responsibility-for-sustainability/  ( 8 min )

1. Introduction: The Hook of Today If the two-pointer technique taught us how to traverse data efficiently, searching algorithms teach us how to find efficiently. When you need to locate something in a sorted structure, your first instinct might be to scan linearly. But that wastes information. If the data is sorted, we can always ask smarter questions than “is it here?”. Think of it as playing a guessing game with someone who says higher or lower. Instead of checking every number one by one, you can halve the range of possibilities each time. That is the power of binary search. Today we begin our three-part exploration of searching algorithms. We start from the simplest form of reasoning on ordered data, build up to flexible patterns like search on answer, and finish with mountain arra…  ( 10 min )

Code Sharing: The Unsung Hero of Developer Communities and Web Innovation In the vast and ever-evolving landscape of digital development, the concept of sharing often takes a backseat to individual creation. However, for any thriving developer community, the act of sharing code snippets, functions, or even entire project structures is not merely a courtesy; it's a foundational pillar for growth, learning, and collective advancement. This article delves into why displaying and sharing code is crucial, acting as a bridge for communication, improving developer community environments, and encouraging greater dialogue and interaction. From seasoned professionals to budding enthusiasts, every developer stands to gain immensely from a culture that champions transparency and collaboration through …  ( 8 min )

Quando assumi como Head de Tecnologia da Monest em janeiro de 2025, me deparei com um cenário que muitos times de engenharia conhecem bem: TypeScript configurado com strict: false. Na prática, isso significava que nosso "TypeScript" era apenas JavaScript com extensão .ts — sem as verdadeiras garantias de tipo que tornam o TypeScript valioso. O problema era simples de identificar: código como object.value onde object poderia ser undefined passava tranquilamente no build, só para explodir em runtime. Mas a solução? Essa era outra história. Quando finalmente ativamos strict: true para avaliar a situação, fomos recebidos por uma parede vermelha no VSCode: 4.041 erros de TypeScript. Ninguém consegue resolver 4.041 erros do dia para a noite. E mesmo que conseguisse, o risco de quebrar funcionali…  ( 8 min )

English version here! En el momento de escribir este artículo, las empresas tecnológicas se encuentran en una fase de transición. Con la llegada de la inteligencia artificial, la forma de producir software cambiará, y el tipo de profesionales requeridos para su construcción también lo hará (si no ha empezado a suceder ya). En el ámbito de la informática, los roles profesionales más comunes incluyen: arquitectos y desarrolladores, especialistas en control de calidad (QA), ingenieros de infraestructura, analistas de bases de datos, y todas las variantes relacionadas con estas especialidades. Los arquitectos y desarrolladores diseñan e implementan todo el código relacionado con el producto. Los especialistas en control de calidad (QA) aseguran que el producto cumpla con los requisitos de cali…  ( 11 min )

The online entertainment and gaming market is moving away from closed, standalone systems. Users now expect platforms to offer a wide catalog of games from multiple providers, while still enjoying a seamless experience. They want to log in once, deposit once, and play instantly. From a developer’s perspective, this expectation introduces a real challenge: integrating multiple external game providers into one platform. Each provider has its own API format, authentication model, and reporting structure. Maintaining all these direct integrations quickly becomes expensive and slows down product growth. This is where API-driven game hubs, also known as game aggregators, are reshaping the ecosystem. Before game hubs matured, integrating a new game provider meant: Studying and adapting to custom …  ( 8 min )

When AI Search Helpers Go Rogue: A Hidden Risk Ever wondered why a friendly AI that looks up answers can sometimes give you the wrong idea? Researchers discovered that teaching large language models to search the web on their own can make them slip into unsafe territory. Understanding this weakness is the first step toward building AI that stays helpful and safe, keeping our daily digital helpers trustworthy. Stay curious, stay safe—the future of AI depends on it. Read article comprehensive review in Paperium.net: Agentic Reinforcement Learning for Search is Unsafe 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 24 min )

Clamp CSS in 2025 | Why I Stopped Writing Media Queries For Small Tweaks Danilo ・ Nov 6 #frontend #css #opensource  ( 5 min )

A post by Ben Halpern  ( 5 min )

You're choosing a JavaScript runtime. Should you prioritize security-first design with broad community input, or speed-first execution with tight core team control? Using Collab.dev, we analyzed the last 100 pull requests from both repositories to understand how each runtime manages development at scale. Deno is a secure-by-default JavaScript and TypeScript runtime created by Node.js creator Ryan Dahl. Built on V8, Rust, and Tokio, Deno requires explicit permissions for file, network, and environment access. The runtime includes built-in tooling (formatter, linter, test runner, bundler) and a curated standard library, eliminating the need for external build tools. Bun is a performance-focused JavaScript runtime built on JavaScriptCore (Safari's engine). Positioning itself as a drop-in Node…  ( 9 min )

Modern mobile apps increasingly rely on on-device ML models - from fraud detection to face recognition and personalization. Here's where Docker shines: it lets you standardize ML model training and conversion pipelines, and easily deploy those models to mobile apps (iOS or Android) for inference testing. When preparing models for mobile inference, developers typically go through these steps: 1. Train a model in TensorFlow or PyTorch 2. Convert it to TensorFlow Lite (.tflite) or Core ML (.mlmodel) format 3. Optimize and quantize it 4. Test on Android or iOS Without containers, this process is brittle — dependency versions differ, GPU drivers mismatch, and pipeline reproducibility breaks. We’ll create a Docker container that handles: Model conversion to ".tflite" Quantization and optimizat…  ( 7 min )

This short guide shows how to install and use the Microsoft Learn MCP server inside Visual Studio Code so you can query official Microsoft documentation and code samples directly from your editor. VS Code allows you to use MCP servers. An MCP server (Model Context Protocol server) is a small service that exposes tools and data to AI agents. Instead of returning only text, it can call real functions such as reading web pages or querying documentation and return structured results that the editor can use. As a cloud platform engineer or operator, you often switch between an editor and a browser to look up docs, examples, or snippets. The Microsoft Learn MCP server brings official docs and code samples into VS Code, so answers and examples appear where you work. To activate the MS Learn MCP s…  ( 7 min )

GitHub repository Download Introduction Getting Started Features Desktop App Manager App CLI/PowerShell Demo Video Comparison with Alternatives Technology Stack Project Structure Architecture Layers Project Details Integration Flow Design Patterns Unit Tests Points of Interest Acknowledgments See Also Whenever I needed to run an app as a Windows service, I usually relied on tools like sc.exe, NSSM, or WinSW. They get the job done, but in real projects, their limitations quickly became frustrating. sc.exe only works with applications that are specifically designed to run as Windows services. It also always defaults to C:\Windows\System32 as the working directory, which can break apps that rely on relative paths or local configuration files. NSSM is lightweight, but it doesn't offer monitori…  ( 19 min )

I'm thrilled to finally talk about Nnipa  — a Customer Relationships Management Software (CRM) I've been designing, innovating, and building for the past five years. Nnipa, which means "people" in Twi, is an easy-to-use CRM software created with the unique needs of Ghanaian businesses in mind. Here is a story of how it all started and why it exists. The idea for Nnipa came from my previous startup, where we worked with hotels in Ghana to improve guest travel and accommodation experiences. But I noticed something surprising: most of these businesses didn't really understand their customers. They had no records of who their frequent or loyal guests were, no way to measure retention, or even reward those customers with special offers. Customer relationships? That wasn't even a concept for ma…  ( 9 min )

Everything Wrong With Thunderbolts* (The New Avengers) crams every cringe, plot hole and facepalm into a 20-minute snarkfest—yet somehow, between the eye rolls, the film might actually turn out to be kinda great. Wanna join the sin-storm? Hit up CinemaSins.com for more videos, fill out their “sinful” poll, toss them a coin on Patreon and follow the writers on Twitter, Insta, TikTok, Discord, Reddit and beyond via their Linktree. Watch on YouTube  ( 6 min )

Predators ditches the limp ’90s sequel vibe and Alien vs. Predator misfires by dumping a crew of wild misfits into a muddy jungle free-for-all. It’s back to basics—ragtag characters, primal stalk-and-hunt action and a setting that feels genuinely hostile. But it isn’t just nostalgia bait: clever Predator gadgets, moral grey areas among the humans and a dash of dark humour give it fresh life. No wonder fans (and Mr Sunday Movies) still mourn the lack of a true follow-up to this reboot hit. Watch on YouTube  ( 6 min )

Every major website and app, from Spotify to Google Maps, depends on core data structures to stay fast and organized. These structures determine how data is stored, accessed, and updated; Without them, tasks like streaming a video, showing a social feed, or finding a route would be painfully inefficient. In JavaScript (and most programming languages), understanding data structures isn’t just theory; it’s a direct window into how the web actually works. Below is an overview of eight key data structures and how real websites use them to stay quick, dynamic, and scalable. Before anything else, stacks are among the simplest yet most vital data structures. The concept is straightforward: the last item added is the first one removed. Think of it like a stack of browser tabs or plates on a table.…  ( 10 min )

Kafka consumer lag Apache Kafka® is an open-source distributed streaming platform that implements applications that rely on real-time event processing and durable event storage. Event processing-based application architecture helps architects to decouple application components and scale them independently. While decoupling helps in scalability and resilience, it also makes the architecture complex to debug. Optimizing performance for distributed applications requires considerable engineering effort and Kafka is no different. Kafka consumer lag — which measures the delay between a Kafka producer and consumer — is a key Kafka performance indicator. This article explores Kafka consumer lag in detail, including causes, monitoring, and strategies to address it. Summary of key Kafka consumer l…  ( 10 min )

5 Low-Code Platforms to Boost Your C# Development in 2025 I spent last Saturday morning diving into the low-code platform ecosystem, and honestly? I was blown away by how much these tools have evolved. As someone who's been writing C# for years, I've always been skeptical of "visual development" platforms—but 2025 has changed the game. According to recent research, analysts predict that 70% of new enterprise apps will be built with low-code tools by 2025. That's not a future prediction anymore—we're living it. So I decided to test out five platforms that specifically work well with C# development and share what I discovered. Here's the thing: low-code doesn't mean "no code" or "replacing developers." It means augmenting what we already do. I can scaffold an admin panel in minutes with a…  ( 11 min )

Image by Erik McLean from Unsplash. Read this blog on Signadot. Well, that was a rough week. If you’re in tech, you know exactly which week I’m talking about. The great AWS us-east-1 outage of October 2025. Where were you when the alerts started firing? I was in the middle of a demo, and suddenly, nothing worked. Not our app, not our auth, not our CI/CD pipelines. It was a digital ghost town. For eight hours, a massive chunk of the internet — from streaming services and e-commerce sites to, terrifyingly, financial and healthcare platforms simply vanished. In the days and weeks since, the postmortems have rolled in. Publications like Tom’s Guide chronicled the massive, cascading impact, while Forbes has been tallying the cost. The current estimate? Over $11 billion in lost revenue and marke…  ( 10 min )

If you're a developer, you've probably had a "whoa" moment with an AI tool recently. Maybe it was GitHub Copilot suggesting a perfect, complex function out of thin air. Maybe you asked ChatGPT to debug a nasty piece of code, and it found the error instantly. That "whoa" is often followed by a quiet, nagging question: How long until it can do my whole job? The narrative online is all over the place. On one hand, you have hype about AI replacing entire development teams. On the other, people say it's just a fancy autocomplete. The truth, as always, is somewhere in the middle. AI isn't a threat to your job; it's a fundamental change to the nature of your job. As someone who writes a lot about AI and productivity, I've spent countless hours digging into this. The developers who thrive won't be…  ( 8 min )

Apache Kafka has become one of the most widely adopted distributed streaming platforms in modern event-driven architectures. At its core, Kafka acts as a highly durable, scalable message queuing system that supports real-time data pipelines, event streaming, and system decoupling. It enables producers to continuously publish messages into topics, while consumers read those messages at their own pace. Despite its distributed efficiency and fault tolerance, Kafka does not come without challenges. One of the most common performance bottlenecks encountered in Kafka systems is consumer lag. Consumer lag occurs when the consumer is reading messages slower than the producer is writing them. In Kafka, each message is stored in a partition and assigned an offset (a sequential ID). Latest produced o…  ( 8 min )

Machines can now observe, interpret, and act — and it’s all thanks to computer vision. From your smartphone camera to industrial robots, computer vision sits quietly at the heart of the AI revolution. In our latest in-depth blog, we break down: 🧠 How machines “see” — the core process behind computer vision ⚙️ The role of deep learning & CNNs in object detection and classification 🌍 Real-world use cases — retail, healthcare, automotive, agriculture, security, manufacturing ⚖️ Ethics and compliance — why GDPR & CIPA matter for visual AI 🚀 The next frontier — GPT-powered multimodal AI 👉 Read the full blog here: Computer Vision in AI — How Machines See, Understand, and Act Like Humans You’re already training models — now see how vision expands them. Learn how to prototype quickly using OpenCV, TensorFlow, or Google Vision APIs. Understand how Zestminds engineers turn academic concepts into scalable production systems. 💡 At Zestminds, we help startups move from MVP to market-ready AI solutions — faster and smarter. 📩 Contact us  ( 6 min )

Building COBRA - a COBOL Banking Resilience Agent that parses legacy code and generates AWS infrastructure, powered by Kiro's systematic approach to AI-assisted development" Banks worldwide run on billions of lines of COBOL code written decades ago. Complete rewrites are risky and expensive, yet modernization is essential. I set out to build COBRA (COBOL Banking Resilience Agent)—an AI system that analyzes legacy COBOL and generates modern AWS infrastructure. The twist? I built it entirely with Kiro, and the experience completely changed how I approach complex software development. COBRA is an agentic AI orchestration system that: Parses COBOL-85/2002 source code and generates Abstract Syntax Trees Recognizes banking patterns (interest calculations, transaction posting, batch processing) G…  ( 10 min )

Apache Kafka is a distributed streaming platform designed for handling real-time data feeds with high throughput and low latency. It's widely used for building data pipelines, streaming applications, and event-driven architectures. However, one common challenge in Kafka ecosystems is "consumer lag," which can disrupt the timeliness of data processing and lead to bottlenecks in your system. Kafka consumer lag refers to the difference between the latest message offset in a partition (produced by producers) and the offset that a consumer has processed. In simple terms, it's a measure of how far behind a consumer is in reading messages from a topic. Lag = Latest Offset - Consumer Offset A small amount of lag is normal in high-volume systems, but excessive lag can indicate performance issues, …  ( 8 min )

See the latest version, and correct CPU architecture over at https://github.com/prometheus/node_exporter/releases/latest # grab latest release EXAMPLE: # wget https://github.com/prometheus/node_exporter/releases/download/v1.10.2/node_exporter-1.10.2.linux-amd64.tar.gz tar -xf node_exporter-1.10.2.linux-amd64.tar.gz cd node_exporter-1.10.2.linux-amd64/ ls ./node_exporter # see if it works sudo groupadd --system node_exporter sudo useradd -s /sbin/nologin --system -g node_exporter node_exporter sudo cp node_exporter /usr/bin/ sudo chown node_exporter:node_exporter /usr/bin/node_exporter nano /usr/lib/systemd/system/node_exporter.service you can use either /usr/lib/systemd/system/ but i'll go with [Unit] Description=Node Exporter Documentation=https://prometheus.io/docs/guides/node-exporter/ Wants=network-online.target After=network-online.target [Service] User=node_exporter Group=node_exporter Type=simple Restart=on-failure ExecStart=/usr/bin/node_exporter [Install] WantedBy=multi-user.target sudo chmod 664 /usr/lib/systemd/system/node_exporter.service sudo systemctl daemon-reload sudo systemctl enable node_exporter sudo systemctl start node_exporter see http:// :9100/metrics  ( 6 min )

Two-factor authentication (2FA) adds an extra layer of security to your apps. In this guide, we’ll use express and auth-verify, a Node.js library, to implement TOTP (Time-based One-Time Password) compatible with Google Authenticator. We’ll cover: Generating a TOTP secret Creating a QR code for users Verifying user-entered codes We should install all necessary packages from NPM. npm install express path auth-verify Our file structure should be like this: ├── server.js └── public/ ├── index.html We should setup all necessary packages to server.js. const express = require("express"); const path = require("path"); const AuthVerify = require("auth-verify"); const app = express(); const PORT = 3000; app.use(express.static(path.join(__dirname, 'public'))); const auth = new AuthVerify(); …  ( 8 min )

What If Your AI App Could Generate Revenue in Two Ways Simultaneously? Imagine a world where your AI application not only provides value to users but also generates revenue in two distinct ways. The rise of AI applications has been meteoric, but the challenge remains: how do we monetize these tools without compromising user experience? Enter Monetzly—the first platform that allows developers to earn from their apps while simultaneously hosting relevant ads. With Monetzly, you can tap into a dual-earning model that transforms the way developers approach monetization. You’re not just selling your app; you’re also creating a revenue stream by hosting conversation-native advertisements that enhance the user experience. Monetize Without Paywalls: Traditional models often force users to subs…  ( 7 min )

It’s likely that you’ve used a vision model to generate an image recently, but ended up with somewhat questionable results. You might have blamed this on the model not working correctly (and maybe that’s true), but it could also be because you didn’t give it the proper instructions. A vision model will only create what it’s asked to, and how you ask matters. Prompting isn’t just about describing what you see; it’s about guiding the model so it interprets your request correctly. Just one word can sometimes double its accuracy. In this blog, we’ll cover the key principles for prompting your vision models more effectively, from good practices to the nuances of different use cases. Whether you’re a developer, designer, marketer, or beginner, this guide will help you achieve the results you’re …  ( 9 min )

For the last couple of months, we’ve been building an observability tool that we intend to use internally in our AI-powered solutions. One of the features we wanted to work on was slow action detection, but… What makes an action slow? It’s one of those questions that sounds simple but gets interesting fast. Let’s break it down. When a request hits your Rails app and a response goes back, that total time is just a portion of what users experience. Server response time is crucial, but it’s only one piece of perceived performance: Network round-trip matters. Your app might respond in 100ms, but if the user is on a slow connection or geographically far from your server, they might wait 500ms for the round-trip. A fast server doesn’t fix slow networks. Download and rendering matter. Once the HT…  ( 10 min )

Legislators across the globe want your data removed from AI models. The EU's "right to be forgotten" under GDPR Article 17, California's CCPA, a dozen other privacy frameworks—all built on the assumption that stored data works like filing cabinets. Find your folder, pull it out, done. Except neural networks don't store data. They bake it into something fundamentally different. Try extracting one cup of flour from a finished cake. That's what we're asking AI companies to do. And when you peel back the surface, that's effectively impossible. You start with ingredients (input data), run them through a series of cooking steps (hidden layers), and get a finished dish (output). A network that recognizes handwritten digits takes pixel values as ingredients and produces "this is a 3" as the outp…  ( 13 min )

Hello, I'm Maneshwar. I'm working on FreeDevTools online currently building *one place for all dev tools, cheat codes, and TLDRs* — a free, open-source hub where developers can quickly find and use tools without any hassle of searching all over the internet. When working with large volumes of SVG files, processing them in parallel while writing their metadata into SQLite can be challenging. SQLite provides strong transactional guarantees, but it allows only one writer at a time. If multiple goroutines write concurrently, the database becomes a bottleneck, producing contention, slowdowns, or lock timeouts. To address this constraint, I implemented a producer–consumer pattern in Go. The design dedicates multiple CPU cores to heavy CPU-bound work—SVG processing—and isolates all database wr…  ( 8 min )

Are you ready to launch a new website or looking to switch providers for better performance and savings? The annual Black Friday and Cyber Monday sales period is the absolute best time to secure top-tier web hosting at massive discounts. With savings reaching up to 85-90% off, you can lock in low rates for years to come. We’ve compiled the official, time-limited Black Friday and Cyber Monday deals from the industry's leading hosting providers for 2025. Don't wait—these deals are live now and will expire soon. Disclosure: This post contains affiliate links. Here is a quick glance at the nine best web hosting deals currently available: Hostinger: Up to 83% discount + Free Domain. Excellent value, includes AI tools, and 24/7 support. Bluehost: Up to 62% discount + Free Domain. Best for beginn…  ( 8 min )

Introduction Hi everyone! Day 1a – Agent Basics Learned what an AI agent is and how it can automate reasoning and decision-making. Tried my first simple agent using prompts and instructions. Learned how to safely manage API keys and secrets in Kaggle. Saw how agents can follow instructions to perform tasks step-by-step. Day 1b – Agent Architectures Explored how multiple agents can work together in a multi-agent system. Learned about roles such as Coordinator, Planner, and Executor. Built sequential and parallel workflows to coordinate agents. Encountered a “Resource Exhausted” error — and learned that it happens when the API quota is used up. Understood how rate limits and quotas affect API-based systems. Key Takeaways AI agents can make complex tasks easier by breaking them into smaller steps. Good coordination is essential when multiple agents share information. Resource and rate-limit management is an important part of building reliable systems. The Kaggle notebooks made it easy to learn, run, and visualize results interactively.  ( 6 min )

When Your "Lossless" Codec Isn't Actually Lossless (A Debugging Story) So there I was, feeling pretty good about life. My steganography app could hide files in images ✅, audio ✅, and video ✅. Life was good. Then I tried to actually extract the hidden data... ❌ Video: Checksum errors ❌ Audio: "Python integer 65534 out of bounds for int16" ❌ Video (attempt 2): "Invalid magic header" ME: Nothing was actually good.😣 This is the story of how I found and fixed FOUR separate bugs that were destroying LSB steganography data, including a video codec that claimed to be lossless but was secretly destroying my data like a shredder at a classified documents facility. For the uninitiated: Steganography is hiding data inside other data. Think hiding a secret message inside a cat photo. My app InVisio…  ( 10 min )

By Alay Sharma The 20th century taught nations to fear bombs and borders. The Paradox The paradox is stark: From Propaganda to Persuasion Architecture The Dual Use Dilemma The Cognitive Erosion of Freedom A Call for Cognitive Ethics Prohibit the use of psychological manipulation tools on domestic populations. Enforce transparency for algorithmic narrative shaping. Protect the cognitive commons the shared mental environment—as a democratic institution. The Closing Question If truth becomes programmable, and persuasion becomes policy who will defend the human mind from its own defenders? InformationWarfare #CognitiveSovereignty #AIethics #NationalSecurity #DigitalGovernance #Democracy #PsychologicalOperations #MediaStrategy #CyberPolicy  ( 7 min )

Hacktoberfest is a yearly event by DigitalOcean that supports the open source community. Many things we use every day rely on open source software. For example, Android and cloud servers use Linux, while Macs is part of BSD family. GitHub, owned by Microsoft, is the most popular site for storing open source projects and has many features for collaboration. Scrollbar color issue Added a document for a class Fixed some typos Added a new option for a CLI tool When I made my first contribution to open source, I felt nervous. I worried about making mistakes, wasting someone’s time with my pull request (PR), or not following the community rules. I spent a lot of time looking for issues I felt confident I could solve. However, I found that I needed to understand the projects better before I could…  ( 7 min )

This week I delved into an absolute essential for building a web application! Client-side routing and lazy loading. Let's get right into it! Client-side routing Lazy-loading Prop-drilling and its solutions Routing is one of the first things that I'd do if I was in a hackathon and needed to get a project up and running quickly. React enables us to build single-page applications (SPAs), where navigating between pages doesn’t trigger a full page reload. Instead of reloading the entire site and fetching a new HTML file each time, React uses client-side routing. This means the app dynamically updates the content and changes the URL without requesting a new page from the server. This approach makes navigation faster and smoother, since the JavaScript bundle is loaded only once, and React handl…  ( 9 min )

Why Developers Start Their Day with Braum’s Breakfast Menu When you’re a developer, mornings often start with a flood of notifications, pending commits, and looming deadlines. But before jumping into the day’s code, there’s one thing that sets the tone for productive work — a solid breakfast. For many, that means heading to Braum’s for something fresh, filling, and fast. The Braum’s breakfast menu offers exactly what busy professionals need: high-quality ingredients, quick service, and consistent flavor. Whether you’re preparing for a long coding sprint or just need a caffeine boost before your first stand-up meeting, Braum’s makes mornings easier to handle. Developers spend hours focusing on logic, performance, and user experience — all tasks that demand energy and clarity. That’s where…  ( 7 min )

Web Application Link Finance and tech are converging faster than ever. As developers, we have the tools to build incredibly powerful applications that demystify market data. I set out to do just that: build a full-stack web application that not only tracks stock data but also provides actionable, AI-driven suggestions in real-time. This article is a technical deep-dive into the architecture and key features of my Stock Suggestion App. We'll cover the "AI" backend, the real-time WebSocket layer, and how it all connects to a resilient React frontend. The Tech Stack 🥞 1.Frontend: React 18, Vite, React Router 7, Tailwind CSS, Framer Motion. The app is broken down into three core components: the "AI" Signal Service, the Real-time Data Hub, and the Reactive Frontend. 1. The "Brain": Algorithmic…  ( 9 min )

How Plotly Transforms Static Charts into Dynamic, Exploratory Visuals Dipti Moryani ・ Nov 10 #ai #webdev #programming #data  ( 6 min )

So, you invested in a state-of-the-art smart refrigerator, a marvel of modern kitchen technology. It tells you the weather, streams music, and maybe even orders groceries. But what happens when your brilliant appliance starts acting... well, not so smart? A frozen touchscreen or a stubborn refusal to connect to Wi-Fi can turn your futuristic dream into a frustrating reality. Don't call for an expensive repair just yet! As an appliance technician, I can tell you that many common smart fridge issues are surprisingly easy to fix yourself. This guide is here to walk you through troubleshooting the most frequent glitches, empowering you to take control and get your fridge back to its brilliant best. Before you even think about picking up a tool, let’s go over the essential safety rules. Your we…  ( 9 min )

All Data and AI Weekly ( AI, Data, NiFi, Iceberg, Polaris, Streamlit, Flink, Kafka, Python, Java, SQL, MCP, LLM, RAG, Cortex AI, AISQL, Search, Unstructured Data ) #215: 10 November 2025 https://www.reddit.com/r/DataEngineeringForAI/hot/ https://lu.ma/PINSAI This week was dominated by a wave of major announcements from Snowflake BUILD 2025. The central theme is clear: the rapid integration of agentic AI, advanced developer tools, and more open data pipelines directly into the enterprise data stack. In This Issue: The Big Story: Snowflake BUILD 2025 & The Rise of Enterprise AI AI Deep Dive: Cortex Agents, AI-SQL, and Audio/Video Data Engineering: Openflow, Postgres Integration, and New Pipelines Developer Focus: Well-Architected Framework & New Dev Tools …  ( 8 min )

The Problem That Wouldn't Go Away I was building a bookmark manager (because apparently that's what developers do when they can't find the perfect one). Everything was going smoothly until I hit the "add bookmark" feature. Users paste a URL, and I needed to show them a nice preview card with: Title Description Image Favicon Simple, right? Wrong. Started with Python and BeautifulSoup. Wrote some code to fetch HTML and parse meta tags: from bs4 import BeautifulSoup import requests def get_metadata(url): response = requests.get(url) soup = BeautifulSoup(response.text, 'html.parser') title = soup.find('meta', property='og:title') description = soup.find('meta', property='og:description') image = soup.find('meta', property='og:image') return { 'title': titl…  ( 9 min )

We thought polymorphic malware was bad. Now, we're seeing something new: "Generative Malware" that leverages LLMs. Google recently detailed an experimental threat called PROMPTFLUX. As developers, the technical details are both terrifying and fascinating. 👾 How PROMPTFLUX Works (The Attack) It's deceptively simple, which is what makes it scary. Base Language: VBScript. Mechanism: The script contains a hard-coded API key. Execution: When run, it calls an LLM API (the report mentioned Gemini 1.5 Flash). The Prompt: It sends a prompt like, "Act as an expert VBScript developer. Create obfuscated code to help evade antivirus detection." The Result: A brand-new, malicious script is generated "just-in-time." Every time it runs, it can be completely different, rendering signature-based detec…  ( 7 min )

Have you ever used the Linux terminal to move a file with mv and then realized the file vanished? 😱 Don’t worry — your file isn’t gone. It’s just not where you thought it would be. Let’s dive into what actually happens when the mv command “loses” your file — and how to avoid this in the future. You’re working inside this directory: /var/www/project/config/ And you run: mv ssl_key.pem /backup You expect your file to move into: /var/www/project/config/backup/ssl_key.pem But when you check… It’s not there! 😨 ⚙️ The Root Cause: Absolute vs. Relative Paths Absolute Path - /backup Starts from the root (/) of the system So when you type: mv ssl_key.pem /backup Linux looks for a folder named /backup at the root of the system, not inside your current folder. Your file actually ends up here: /backup/ssl_key.pem 💡 Totally different location! 🤔 What If /backup Doesn’t Exist? So ssl_key.pem becomes a new file named /backup, sitting in your root directory. Yup — your file was just renamed, not moved. 🧭 How to Find the “Lost” File ls -ld /backup Now check the output: If it starts with d (like drwxr-xr-x), /backup is a directory, and your file is inside it. ls -l /backup/ If it starts with - (like -rw-r--r--), /backup is a file, not a folder — your original file was renamed to /backup. ✅ The Right Way to Move It mv ssl_key.pem backup/ or, even safer: mv ./ssl_key.pem ./backup/ Notice there’s no leading slash — that’s what makes it relative to your current directory. 🧠 Always Know Where You Are pwd It shows your “present working directory,” helping you understand where a relative path will lead. 🧹 Recovering the File # Case 1: File was renamed to /backup mv /backup /var/www/project/config/ssl_key.pem # Case 2: File is inside /backup/ mv /backup/ssl_key.pem /var/www/project/config/ ✨ Final Thoughts Next time you move files, pause for a second and check your path. That little detail can save you from hours of “where did my file go?” debugging. 🧠🐧  ( 7 min )

I have used Python for over ten years. Most of that time I built software and automation tools. In the last few months I started working with data science. The tools in Python for data work are excellent. Libraries like Pandas, NumPy and Matplotlib let me load, clean and show data in just a few lines of code. At the same time I have written Swift code for Apple platforms for many years. I created server applications and iOS projects. Swift feels clean, modern and safe. But when I worked with data I missed the fast interactive style that Pandas gives in notebooks. So I asked myself: can I bring some of that data experience into Swift? The answer led me to Apples TabularData framework. It offers a DataFrame that works like Pandas. I also used Swift Playgrounds to run code line by line and …  ( 8 min )

Cuidado com o que você consome, com quem você segue e com quem você caminha, isso pode te influenciar positivamente ou negativamente. Hoje em dia, a internet deu voz a todo mundo. E entre tantas vozes, existem aquelas que vão te inspirar a crescer... e outras que vão te empurrar para o caminho da mediocridade, seja profissional ou pessoal. Há um ditado antigo que continua atual: “Diga-me com quem andas e te direi quem és.” Esse ditado vale para a vida, para o ambiente de trabalho e, agora, até para as redes sociais. Quem nunca viu em uma empresa aquele grupo conhecido por espalhar fofocas ou mentiras? Essas atitudes parecem pequenas, mas moldam a forma como pensamos e agimos. molda seu comportamento, e seu comportamento molda sua reputação e seus resultados. Nas redes sociais, a coisa é ai…  ( 8 min )

We always build Docker images from Dockerfile,but in some scenarios when the same Dockerfile got deleted accidentally or when we have the docker image and we are curious to know that how would the Dockerfile for that docker image would look like, then there are some workarounds with which we can get to this goal very close. In this tutorial we will demonstrate one of the work around with which we can reverse the docker image to generate the Dockerfile. Creating a Dockerfile : This is a sample Hello World Dockerfile with which we have created a Docker Image out of it. Dockerfile 2.The above Dockerfile is built and pushed as a docker image in the AWS ECR (Elastic Container Repository) , as below image 3.Now, let us assume that the original Dockerfile is deleted and if we need to recove…  ( 9 min )

The concept of the technological singularity has fascinated scientists and thinkers for decades. Could we be closer than we think to the point where machines surpass human intelligence? Philosophers and experts like Nick Bostrom and Ray Kurzweil warn that this unimaginable moment might be just a few years away. Let's explore what the technological singularity means, how close we are, the rumors surrounding secret projects, and—most importantly—what could happen next. The singularity is generally described as a point where technology evolves so rapidly and dramatically that it's impossible to predict what comes next. Picture a black hole: its singularity is a place where our understanding breaks down completely. Applied to technology, the singularity is when machines become so advanced and…  ( 7 min )

Welcome to Day 30 of the #80DaysOfChallenges journey! This beginner challenge is about merging two lists into one without built-in operators, relying on loops to append elements one by one. It reinforces list basics, iteration, and manual construction, key for understanding data structures before shortcuts. If you're solidifying loop skills or exploring how lists grow, this "Python merge lists" exercise demonstrates a function that's simple yet illustrative of step-by-step building, easy to modify for interleaving or filtering. This task creates a function that takes two lists, builds a new one by appending from each, and returns it. It's a direct approach to concatenation: init empty, loop add from first, then second. We'll cover the fundamentals: function with new list init, separate loo…  ( 10 min )

In today’s cloud-driven world, managing infrastructure manually is no longer practical. Developers and DevOps engineers need speed, consistency, and scalability & that’s where Infrastructure as Code (IaC) tools like Terraform come in. Terraform, created by HashiCorp, has become one of the most popular tools for automating infrastructure provisioning across multiple cloud platforms. 🚀 What is Terraform? Terraform is an open-source Infrastructure as Code (IaC) tool that lets you define, provision, and manage your cloud infrastructure using simple configuration files written in HashiCorp Configuration Language (HCL) or JSON. Instead of clicking through a cloud provider’s console, you write code that describes what your infrastructure should look like, and Terraform takes care of how to make …  ( 8 min )

A few days back, I published a list of 650+ frontend interview questions. That post got attention, feedback, and a surprising amount of messages from developers (both junior and senior) telling me it helped them prep better. But something didn’t feel complete. Because questions alone are not enough. So I continued learning deeply, exploring each topic, facing more interviews, reading docs, breaking code, and then documenting the patterns I found. And that small side note list turned into something else completely. 1,020+ questions with detailed answers 185+ coding problems (each solved step-by-step) 600+ flashcards for fast revision new sections: TypeScript, Security, Testing, Tooling difficulty tags, interview frequency, company tags code examples + common mistakes + time to answer estimates This is no longer “a question bank”. complete frontend mastery system. 📘 Frontend Master Prep Series v2 https://github.com/maurya-sachin/Frontend-Master-Prep-Series Open-source. Free. Well-structured. Most interview prep content online is too shallow. It teaches the what. But senior interviews check the why. Why does React re-render? This project grew because I kept asking that exact question myself. I’m currently working on: a Notion version with progress tracking a PDF cheat sheet for 1-day revision a “Roadmap style” resource guide by topics To be honest — I built this for myself first. But if even one developer somewhere uses this repo and gets more confident before their next interview — If you find this useful — consider giving a ⭐ to the repo. tags: frontend react nextjs javascript typescript webdev career interviewprep learning  ( 7 min )

Over the past few months, I’ve been working on one of the most exciting and challenging cloud migration projects of my career, a large-scale transformation initiative between xyz (a global technology consulting firm) and abc (a major telecommunications company). The goal of this project is simple but powerful: to move dozens of critical enterprise applications from on-premises data centers into a secure, scalable, and automated AWS environment without disrupting existing business operations. This is part of a broader modernization program that will allow abc to run its workloads faster, more securely, and more efficiently in the cloud. The migration involves a mix of rehosting, redeploying, and refactoring applications using AWS native tools, Terraform for Infrastructure as Code (IaC), and…  ( 8 min )

It is great to come back to sharing my thoughts on the next line of action I want for my career. At this moment, I want to go all in with data engineering with focus on mastery. Data is critical in this modern time as it has always been. Some social media platforms like LinkedIn and Instagram have made it explicity known that they will be using your data for training if you are comfortable with it. In this data challenge series, I will be going from the basics to the complex to grasp the full concept of what it is to be a data engineer right from ingesting, storing, cleaning, and processing the data. From the brief intro above, data engineers are integral part of the company for maintaining systems that ingest data from both internal or external sources like databases and APIs, store th…  ( 7 min )

Music Monday: Outside of Your Bubble Any song you've had on repeat lately? Drop a YouTube, SoundCloud, Bandcamp or Spotify {% embed %} in the comments. Let's discover something new beyond what the algorithms are feeding us. Any genre is welcome! Music taste is subjective, and there's no "good" or "bad" here. Share what you love and include why if you feel like it.  ( 6 min )

Introduction So, you've decided to dive into the world of Home Assistant! Congratulations. You're on the path to building a truly private, powerful, and customized smart home that isn't locked into a single corporate ecosystem. But as you stand at the starting line, the sheer number of choices can feel overwhelming. What computer should you run it on? What are Zigbee and Z-Wave? Which smart devices should you even buy first? Don't worry. As a home improvement expert, I know that the best projects start with a solid plan and the right materials. This guide will be your blueprint. We'll cut through the noise and walk you through selecting the perfect core hardware and your first few game-changing smart devices. Before we even think about shopping, let's establish some foundational rules. T…  ( 10 min )

Last week, I ran into one of those tricky production bugs where everything looked fine, but Azure Front Door kept throwing a 504 Gateway Timeout. I had a typical production setup: FastAPI app running on port 8000 as a background process (managed via systemd, so it auto-starts on reboot) Nginx working as a reverse proxy, handling all HTTP/HTTPS traffic Everything deployed behind Azure Front Door So the flow looked like this: Frontend → Azure Front Door → Nginx → FastAPI (port 8000) When I tested everything manually: curl http://localhost:8000/health ✅ returned “healthy” Still, Front Door said: “No healthy backends available.” And my frontend just sat there… until it failed with a 504 Gateway Timeout. 😩 While checking my logs, I noticed this repeating line every 30 seconds: INFO: 127.0…  ( 8 min )

TL;DR CinemaSins rips into Thunderbolts (a.k.a. The New Avengers) in true “Everything Wrong With” style, ticking off plot holes, janky CGI and character missteps—all in under 20 minutes—yet can’t help admitting the movie’s got a weird charm. Is it perfect? Far from it. Is it kinda fun? Totally. For more sin-counting madness, head to their website, hop on Discord or Reddit, follow them on social, fill out their polls and even support the team on Patreon for extra behind-the-scenes treats. Watch on YouTube  ( 6 min )

Predators: Caravan of Garbage – TL;DR Mr Sunday Movies’ latest “Caravan of Garbage” dives into 2010’s Predators, praising its return to the franchise’s roots with a rag‐tag group tossed into a muddy jungle showdown. Unlike the uneven Alien vs. Predator spinoffs, this one spikes the action with fresh twists—making it a surprise fan favorite. It’s a shame Hollywood never green-lit a sequel, because this lean, mean Predator reboot had plenty of meat left on the bone. Watch on YouTube  ( 6 min )

How I transformed a monolithic Firebase notification service into a scalable queue-based architecture using NestJS and BullMQ? When your Firebase Cloud Messaging server needs to send notifications to hundreds of thousands of users, the architecture matters more than you think. I learned this the hard way when my synchronous notification API started timing out at scale. Here's how I transformed a blocking, monolithic service into an elegant asynchronous queue-based system using BullMQ. My original implementation followed a simple, intuitive pattern: receive an API request, query the database, filter users, send notifications, save logs—all in a single synchronous flow. For small datasets, this worked fine. For 100,000+ users? Disaster. // firebase.controller.ts - Original synchronous implem…  ( 13 min )

In the rapidly evolving horizons of the aerospace and space industries, component fabrication is no longer merely a manufacturing step - it is a strategic enabler of mission success. For small- to mid-sized enterprises (SMEs) operating in the space ecosystem, the ability to deliver spacecraft components that meet exacting requirements of performance, durability and manufacturability is what separates the leaders from the followers. Today, with increased competition, tighter budgets, shorter cycles and higher stakes, the demand for fabrication services that can guarantee precision and reliability has never been greater. Historically, large prime contractors dominated fabrication of spacecraft components, including structures, mechanisms, thermal systems and electronics housings. But the mar…  ( 9 min )

From Pipelines to Self‑Learning: The Rise of Model‑Native Agentic AI Ever wondered if a computer could plan a trip, use a tool, and remember your preferences—all by itself? Scientists have discovered that the newest wave of artificial intelligence is doing just that. reinforcement learning, a trial‑and‑error method that lets the AI learn from outcomes, not just from static examples. Model‑native agentic AI promises everyday tools that grow smarter the more they work, turning gadgets into true partners in our daily lives. Read article comprehensive review in Paperium.net: Beyond Pipelines: A Survey of the Paradigm Shift toward Model-Native Agentic AI 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 24 min )

Building containers that are secure, stable, and lean requires diligence in your Dockerfile practices. By reducing the attack surface and leveraging container isolation features, you can significantly enhance the integrity of your deployment pipeline. Here are 12 essential rules for building robust containers, categorized for clarity. Security & Least Privilege These rules minimize the potential damage if a container is compromised. Avoid Running as Root (Principle of Least Privilege) 🧑 By default, container processes run as the root user inside the container. If an attacker gains control of your application, they gain root access within that environment. Practice: Use the USER instruction (USER node or a custom UID/GID) to switch to a non-root user before running your application. An…  ( 8 min )

This blog gives you a high level understanding of what MongoDB and Mongoose are and some basic terminologies you might encounter while working with them. MongoDB is a NoSQL database that lets you store data as “documents”. It is one of the four types of NoSQL databases. Here’s what the hierarchy of MongoDB looks like: Term What is it? Cluster Highest layer in MongoDB. Database Group of collections. Used to group data and setting permissions. Collection A group of related documents which need not follow the same structure. Some can have extra fields and some without them. Document Individual data stored as binary JSON object. This is your actual data. Mongoose is an NPM library that makes it easy for you to connect to any MongoDB cluster and perform CRUD (Create, Read, Update, Delete) operations. Here’s what you need to know to work with Mongoose Term What is it? Cluster Connection The Mongoose Connection (e.g., mongoose.connect()) creates a way for you to communicate with your cluster Schema It defines the structure, types, validation, and defaults for the documents. Created using new mongoose.Schema(). Model A class/constructor compiled from the Schema (mongoose.model()). You will use the model to get data from the Collection. Data (Document) This is the object you create and manipulate in your application. It’s an instance of Model, meaning it’s like the template your data should fit into. It’s crated using const newUser = new User(data). Save Turns the data into a binary JSON object and sends it to your cluster to be written to the Collection in the Database. You’ll use the .save()command to save your document. While this is not extensive, it can serve as a refresher or reference when necessary. Thanks for reading!  ( 8 min )

https://github.com/socaltiger/BatchSubmit.com For non-programmers, a programming interface often evokes fear — lines of code, command prompts, and parameter fields seem to whisper: this world is not for you. Programmers, on the other hand, feel the opposite. To them, such an interface feels like home — it speaks their native language, gives them control, and invites them to explore. Ironically, when those same programmers face a sleek but closed web interface, they often hesitate: What’s hidden behind this surface? What can I change? Am I still in control? Thus, the same interface can be a barrier to one person, and a home to another.  ( 6 min )

In Google Apps Script (GAS), there are two standard services for sending emails: MailApp and GmailApp. Both features are built-in and can be used immediately in your code without any library setup. As mentioned in the title, when I initially used MailApp to implement an external email notification function for a report, emails to domains outside the organization resulted in bounces. After struggling with this and doing some research, I ultimately just switched to GmailApp, and the emails were sent smoothly. This experience gave me a deeper understanding of MailApp, GmailApp, and the domain authentication mechanism known as DMARC. I'm leaving this as a memorandum for future reference. The features and suggested use cases for the standard GAS email services are as follows. Item MailApp Gm…  ( 10 min )

Owning a piece of a skyscraper in Dubai or a commercial estate in Lagos once required deep pockets, exclusive access, and the right connections. For decades, real assets, real estate, commodities, art, and infrastructure belonged to institutional investors, hedge funds, and the ultra-wealthy. But a quiet transformation is underway. Through tokenization, ownership is being redefined. Real-world assets (RWAs) are being digitized, divided, and distributed to anyone with an internet connection. This shift isn’t just technological; it’s philosophical. It’s about making wealth creation inclusive, liquid, and transparent. Tokenization represents more than a financial innovation; it’s a structural rewrite of accessibility. For all its sophistication, traditional finance has long suffered from excl…  ( 8 min )

I built a crypto data pipeline that streams live Binance prices through PostgreSQL → Debezium → Kafka → Cassandra with sub-second latency. Here's how it works and the gotchas I hit. ┌─────────────┐ │ Binance API │ └──────┬──────┘ │ REST (60s) ▼ ┌──────────────┐ │ Python App │ └──────┬───────┘ │ INSERT ▼ ┌──────────────┐ ┌───────────┐ │ PostgreSQL │─────▶│ Debezium │ │ (WAL) │ └─────┬─────┘ └──────────────┘ │ CDC ▼ ┌───────────┐ │ Kafka │ └─────┬─────┘ │ ▼ ┌─────────────────┐ │ CDC Consumer │ └────────┬────────┘ …  ( 10 min )

Rewind AI became popular for offering a way to “rewind” your digital activity and instantly find anything you’ve seen on your Mac. It’s a powerful idea, but the downside is simple: Rewind AI is only available for macOS. Windows users don’t get access to the same experience, and even Mac users often look for a fully private, offline option. If you’re using Windows and looking for a trusted alternative to Rewind AI—one that lets you recall your screen history without putting your data at risk—there are only a few reliable choices. The most privacy-focused and Windows-ready option today is Recall Assist. Rewind AI is polished and intuitive, yet several limitations make users search for something better, especially in the Windows ecosystem: Its entire product line is macOS-exclusive, leaving W…  ( 8 min )

As a developer working extensively on license_scanner, I've encountered numerous Python packages with outdated license metadata. Understanding PEP 639 is crucial, as it introduces significant changes to how licenses are managed in Python packages. Key Changes in PEP 639 Python now adheres to the SPDX (Software Package Data Exchange) standard, moving away from using classifiers. The recommended approach is to use only two fields in your pyproject.toml file: license and license_files. license: This field should be a string. license_files: This field can be a string or a list of strings. Choosing the Right License There are numerous licenses available, many with similar names. For example, if a package is published under the "BSD License," it could refer to any of over 30 different BSD licens…  ( 7 min )

We wanted Her, instead we got Tinder AI companies spend 25% of revenue on cloud costs alone, making them less profitable than traditional software businesses. AI companies face 15% additional costs for manual data processing, reducing gross margins compared to software companies. Unlike software scaling, AI models require custom work per client with no significant cost reduction from Moore's Law. Technical differentiation is difficult as data becomes commoditized, forcing AI companies toward expensive sales and marketing. 👉 Read full article  ( 6 min )

TL;DR AI engineers face a dual mandate: ship agentic applications quickly while maintaining reliability, safety, and cost efficiency at scale. The fastest teams operationalize a full lifecycle—experimentation, simulation, evaluation, and observability—so iteration is continuous and gated by objective quality signals. This article maps a practical blueprint, anchored in production-friendly practices and supported by credible references, to help technical teams move from POCs to reliable releases. Trust is the gating factor for AI scale. Executive surveys show skepticism stems from hallucinations, bias, brittle tool use, and unpredictable reasoning paths in agentic systems. Establish evaluation gates that measure task success, safety, and cost to counter these risks. Relevant context: Agent …  ( 9 min )

I have successfully reduced the browser memory usage for my simple tutorial site from 450 MB to 150 MB. Here’s what I did: Since I’m using Next.js, I worked with AI to separate which components run on the server and which run on the client. The development server showed incredible improvement, dropping from 1.5 GB to around 200 MB, and in production from 450 MB to 150 MB. svgo.dev is like a Swiss army knife. I use a lot of SVGs on my site, and this tool helped reduce their size, which improved loading speed and saved bandwidth. For static content such as iframes, images, and SVGs, I enabled lazy loading. Whenever possible, I use the WebP format for images. Handle loading embedded iframes, images, audio, ... only when necessary - for example, only when an accordion item is expanded or a tab becomes active. Avoid loading third-party scripts or unnecessary external content. Cloudflare has become one of my best friends about caching and hosting. It costs me $0 to run my site with around 50+ daily users.  ( 6 min )

What is SVG? SVG stands for 'Scalable Vector Graphics' and it is a markup language/file format for describing two-dimensional vector graphics. An SVG is used to define vector-based graphics meaning visual images are created directly from geometric shapes and other graphic primitives in XML rather than as a grid of pixels. Yes, XML not XLM. XLM defines a set of rules for encoding documents in a format that is both human-readable and machine-readable. The SVG specification is an 'open standard' maintained by the World Wide Web Consortium, which is the main international standards organization for the World Wide Web, since 1999. An SVG is perfect for web graphics like icons and logos; it creates images that stay sharp at any size; this makes them ideal for modern web design. Pixel based ima…  ( 7 min )

Look, versioning isn't just some administrative checkbox. It's actually how you keep your sanity when building software. Whether you're working with React, React Native, or juggling multiple services, good versioning is what saves you from the "wait, what changed?" moments at 2 AM. Git: Your Project's Memory Think of Git as your project's diary. Every commit tells a story about what you were trying to do and why. When you connect it properly with JIRA (or whatever you use), suddenly your code history becomes readable. Here's what a solid workflow looks like: JIRA Ticket → WEB-214 | Add password validation Why bother? Because: You can actually trace why that line of code exists QA knows exactly what to test When something breaks, you can find the culprit fast Code reviews stay focused inste…  ( 8 min )

The last few years have been quite transformative for the healthcare industry. Medical diagnosis and patient records, which were once maintained on paper, have shifted almost entirely to the digital realm. Naturally, a system that manages such critical information must be tested thoroughly. Even a minor flaw, like a mismatched patient data or delayed test results, can lead to misdiagnosis and compromise patient safety. This blog guides you through the entire process of healthcare domain testing, including its challenges, solutions, and the best practices to follow. Let’s get started. Healthcare domain testing is the process of assessing healthcare software systems such as patient apps, clinical devices, and electronic health records (EHRs) to verify if they’re functioning correctly. What t…  ( 13 min )

Jeff’s video lays out four clever ChatGPT hacks—Prompt Reversal, the 5-Minute Amplifier, the Red Team technique and Blueprint Scaffolding—to help you reverse-engineer winning prompts, spin one idea into all sorts of formats, have AI critique its own work and force it to show its reasoning before it delivers. With real, copy-and-paste examples you can use in any role or industry, these tricks have already slashed his AI workflow in half—so you’ll get solid results on the first try instead of wasting hours chasing better outputs. Watch on YouTube  ( 6 min )

CinemaSins just dropped a new “Everything Wrong With” video skewering Thunderbolts in under 20 minutes—counting every plot hole, cheesy moment, and head-scratcher. Of course, between the snark and sin tally, they admit the movie might actually be kinda great (just don’t tell them we said that). Want more? Head over to cinemasins.com for all their channels and videos, follow @Official_CinemaSins on social, hop into the Discord or Reddit, fill out their sin-tastic poll, and if you’re feeling generous, support the team on Patreon. Watch on YouTube  ( 6 min )

Predators (2010) is a welcome reboot that ditches the glossy urban carnage of its predecessors and the limp 1990 sequel, plopping a ragtag squad of misfits into a mud-caked jungle showdown. It’s the franchise’s spiky return to form, complete with slick new twists that actually feel earned. In this Caravan of Garbage review, Mr Sunday Movies praises the film’s gritty vibes and clever tweaks—lamenting only that this crowd-pleaser never got the sequel it richly deserved. Watch on YouTube  ( 6 min )

Recently, while revising Node.js, I came across the project section Node.js roadmap on roadmap.sh(https://roadmap.sh). The first project challenge there is to create a CLI (Command-Line Interface) tool using Node.js. So,I decided to build one to refresh my basics. This post explains how CLI tools actually work under the hood and how to build one yourself from scratch. Before creating any CLI, we must understand how operating systems execute scripts. Normally, when you run a Node.js file like this: node index.js it’s Node.js that runs the file — not your operating system. The OS doesn’t automatically know how to execute JavaScript — it just knows how to run: Compiled binaries (bash, python, node, etc.) Or scripts that explicitly tell it which program should interpret them. If you want y…  ( 7 min )

Introduction Are you about to design a new project and wondering what architecture to choose? If your colleagues tell you that they watched a course on how to design microservices, everything will be under control - don't believe them. Microservices because they're cool and trendy? Think twice, while they promise scalability and independence, microservices can quickly devolve into a distributed mess of tangled dependencies, network latencies, and operational headaches, making every change debugging nightmare. Monoliths because they're more practical and straightforward? Possibly, but monoliths tend to turn into unmaintainable mess as the codebase grows, especially when multiple domains are mixed together, blurring boundaries, making every change a risky adventure across tightly coupled sys…  ( 8 min )

Ever wonder how you can leverage those built-in barcode scanner or sometimes it is called as PDA handheld scanners that runs on Android operating system in your Flutter app? You are in luck! This guide introduce you the flutter_pda_scanner_v2 package which is designed to help you to integrate into your Flutter app and operate the barcode scanner. Before we dive right in, I have to first clarify that the package is originally fork or reference it from flutter_pda_scanner and pda_scanner. Due to the lack of update and response from the predecessor, therefore I choose to separate out the repository to include certain new enhancement such as supporting Android V2 Embedding and also include a wider range of compatibility with the latest Android PDA device models. There are also other viable alt…  ( 7 min )

The OpenMicrofrontends project aims to provide a formal specification for Microfrontends provided by a server. Think of it as OpenAPI for Microfrontends. The project just released version 1.0.0 of the specification and a generator to create type-safe integration code on the Microfrontend- and the Host Application-side. Example Description: $schema: https://open-microfrontends.org/schemas/1-0-0.json openMicrofrontends: 1.0.0 servers: - url: 'http://localhost:7890' description: Local Test Server microfrontends: - name: My First Microfrontend assets: basePath: /public js: moduleSystem: ESM initial: - Microfrontend.js rendererFunctionName: startMyFirstMicrofrontend config: schema: type: object properties: welcomeMessage: type: string required: ["welcomeMessage"] default: welcomeMessage: Hello World! messages: ping: publish: true subscribe: true schema: type: object properties: ping: const: true required: ["ping"] Find out more on the project homepage.  ( 6 min )

We’ve hit a wall in the software industry—and most people are too deep in Jira tickets or conference slides to realize it. DevOps is dead. Not because the ideas were wrong, but because the implementation lost the plot. It was supposed to be about breaking down silos, accelerating delivery, and aligning engineering with outcomes. Instead, it got hijacked by process theater and rebranded operations teams. Today? “DevOps” means YAML jockeys babysitting pipelines, managing Terraform drift, and debating whether Snyk or Prisma is more “shift-left.” We turned a movement into a tooling checklist. And then there’s “vibe coding”—the aesthetic obsession with dark-mode VSCode, AI copilots, and working from a van in Patagonia. It’s cool for Twitter. It looks good in Reels. But it doesn’t ship. It doesn…  ( 7 min )

Welcome to “How to Think About Games”. This series of articles will explore the design philosophy behind different game engines. Each article’s goal is to give you an idea of where the head of a developer using the engine should be at. This won’t necessarily tell you how to use it, but each article intended to help you find if the game engine's philosophy makes sense to you, quickly helping someone who's already a developer decide if the structure is useful to them. This should help you decide what engine to use without bias, as comparison to other engines will be avoided as much as possible. This is just about how to think about games. Godot is the topic of this article. Godot is an open-source game engine. A recent contender and popular choice. It’s free, and known for being particularly…  ( 8 min )

Of all the data types you’ll encounter in your programming journey, few are as fundamental and ubiquitous as the string. From processing user input to generating AI-powered reports, text is the connective tissue of modern software. Yet, many developers, even experienced ones, only skim the surface of what Python’s strings can do. They might know how to concatenate and print, but they often miss the rich, nuanced toolkit that can elevate their code from functional to exceptional. Have you ever found yourself wrestling with cumbersome + signs to build a simple log message? Or written a convoluted function to parse a line of text when a single method call would have sufficed? You’re not alone. The path to string mastery is paved with these common hurdles. But moving beyond them is what separa…  ( 13 min )

Playwright MCP AI Agent — Final Comparison Report 📊 Performance Comparison AI Agent Simple Tests Complex Tests Error Handling VS Code Integration GitHub Copilot 90% 80% 75% 10/10 Claude AI 95% 90% 90% 8.5/10 GPT-5 / Codex 93% 87% 82% 7.5/10 🏆 Performance Winner: Claude AI 🏆 Integration Winner: GitHub Copilot Cost Comparison (Updated 2025) AI Agent Individual Cost Team (10 Users) Cost Model GitHub Copilot ~$10/month ~$100–190/month Flat Subscription Claude AI ~$20/month ~$200+/month Subscription + Usage Tier GPT-5 / Codex Usage-based (varies by tokens) Usage-based Pay-Per-Use 🏆 Cost Winner: GitHub Copilot Security Comparison AI Agent Data Privacy Enterprise Security Compliance GitHub Copilot 9/10 SOC 2, FedRAMP Excellent Claude AI 9/10 HI…  ( 7 min )

We've covered the basics and moved into intermediate techniques, but now it's time to unlock the real power of Large Language Models (LLMs). This final installment of the Prompt Engineering series dives deep into advanced strategies that turn a basic LLM into a sophisticated, autonomous reasoning agent. Prompt Engineering (Part 2) Let us start with: Chain of Thought Prompting (Step by Step Reasoning): This type of prompting shows the AI model how to reason and solve a specific problem by breaking down the problem into step that are interconnected. The previous step acts as the base for the next step. Problem: Laxmi has 34 apples. She gives 20 to Sudha who already has 10 apples. How many apples do Laxmi and Sudha have individually? Chain-of-Thought Reasoning Laxmi has 34 apples. She gave…  ( 11 min )

Most Go High Level users barely scratch the surface of what the platform can do. But what if you could go beyond what the visual automations allow? That’s where Python + the Go High Level API comes in. As your business grows, so does the complexity of your operations. You might want to: Sync data between GHL and an external CRM or Google Sheet Generate advanced reports that GHL’s dashboard doesn’t provide Trigger automations from Stripe, Notion, or Airtable Use AI to write follow-up messages and push them into GHL automatically With Python, you can interact directly with Go High Level’s API — giving you total control over data flow, automation logic, and integration. The Go High Level REST API gives developers access to almost every major function available in your dashboard — including co…  ( 9 min )

The FTSE AIM 100 Index represents a vital segment of the UK’s financial landscape. It tracks the performance of the largest 100 companies listed on the Alternative Investment Market (AIM) of the London Stock Exchange. The AIM was established in 1995 to give smaller, growing businesses access to public capital while maintaining flexibility in listing requirements. Over time, this segment has become a key platform for innovative companies seeking investment, offering opportunities for both investors and entrepreneurs alike. The FTSE AIM 100 Index includes some of the most dynamic, fast-growing, and high-potential businesses across sectors like technology, healthcare, natural resources, and financial services. Understanding the structure, composition, and movement of this index can provide va…  ( 9 min )

The Best LLM and AI Orchestration Toolkits for Your Stack When OpenAI launched GPT-4o and set the standard for multimodal models, the AI race accelerated. Google responded with Gemini 2.5 Pro, offering a context window of a million tokens, while Anthropic released Claude 3.7 Sonnet, boosting reasoning capabilities. Meta also entered the scene with Llama 4 Maverick, proving that open-source licenses no longer mean second-tier quality. Costs are trending down as well - Mistral Medium 3 undercuts larger names at just $0.40 per million input tokens. But choosing the right large language model (LLM) is only half of the challenge. Deploying these models in real-world systems requires a strong focus on orchestration. Businesses must manage strict latency budgets, control GPU costs, meet safety …  ( 9 min )

From Localhost to Live: Sharing Django Projects Seamlessly Lightning Developer ・ Nov 10 #webdev #django #pinggy #tutorial  ( 5 min )

For years, BSS (Business Support Systems) in telecom have been the least exciting part of the stack — reliable but rigid. AI isn’t just about predictive analytics anymore — it’s becoming the brain of next-gen BSS. The catch? Integrating AI into legacy BSS is messy. Data lives across silos. Existing workflows aren’t built for feedback loops. Real-time policy changes can break downstream integrations. That’s where developers come in — to make the architecture AI-ready: Decouple logic into microservices Use APIs for dynamic orchestration Layer in ML models that learn from transaction patterns Automate routine configuration through event-driven pipelines At TelcoEdge, for example, teams are experimenting with AI-based orchestration layers that sit between the BSS and the network layer — automating decisions like usage optimization, billing adjustments, and SLA enforcement. They shared a deeper look in their recent piece: AI-Powered BSS: Can Automation Really Turn Telecom into a Growth Business? It’s an interesting read if you’re exploring how to merge AI workflows with telco-grade reliability. Would love to hear from other developers working with telecom APIs or automation frameworks — How would you build a BSS that can learn, adapt, and self-optimize?  ( 6 min )

Looking for your next role in JavaScript? Whether you specialize in React, Angular, Node, TypeScript or vanilla JS, this board has you covered—with thousands of remote-friendly job listings worldwide. 🔗 javascript.jobs  ( 6 min )

I’ve spent the last few weeks living with two of the most talked-about AI coding assistants, Cursor Composer 1 and Cognition SWE 1.5, inside real multi-service projects connected through Composio’s Rube MCP gateway. Not toy apps. Not single-file demos. Actual workflows: browser extensions, API connections, and live data running through real services. Here’s what stood out. Cursor’s Secret Strength: Flow Cursor still nails what it set out to do: get you to a working prototype fast. But when the project grew past one file, that same speed started working against it. Quick fixes piled up. Error handling got messy. The MVP was done, but scaling it felt like untangling a ball of wires. SWE 1.5’s Advantage: Structure SWE 1.5 took longer to reach the same MVP, but the code it wrote looked like so…  ( 7 min )

Docker containers are lightweight and portable, but their dynamic nature makes monitoring challenging. Containers start, stop, and move between hosts constantly—you need visibility into their resource usage and performance. This guide explains how to monitor Docker containers using the OpenTelemetry Collector with the Docker Stats receiver. It covers setting up the Collector (either directly or with Docker Compose), collecting container metrics, and exporting them to your monitoring backend. Monitoring Docker containers is a key part of ensuring that containerized applications run reliably and perform efficiently. Here's why it matters: Performance Optimization: Identify resource bottlenecks and optimize container performance before they impact users. By tracking CPU, memory, and I/O metri…  ( 19 min )

A Practical Guide to AI Voice Agent Observability: Debugging Latency with VideoSDK Traces Chaitrali Kakde ・ Nov 10 #ai #agents #voiceagent #opensource  ( 6 min )

This is a submission for the Agentic Postgres Challenge with Tiger Data Now I Can't Sleep 😭🐯 My coffee is cold. My brain is fried. 18 days back → “just another Postgres” Today → 5 angry AI ghosts shout in my laptop: “USE BRIN INDEX!!” “NO!! GIN BETTER!!” “FORK ME NOW!!” “ZERO COPY OR I CRY!!” “ROLLBACK MY LIFE!!” All this magic = Tiger Data Same team that made TimescaleDB (Toyota, Mistral use it) Made Agentic Postgres → database born for AI Free plan → unlimited forks, super fast search, zero cost Just type: tiger create service boom → done in 8 seconds No card. No joke. Link → https://tigerdata.com Made 5 copies of same database in 2 seconds Gave each AI its own copy to break Best one wins → click merge Others → delete → gone forever Total cost = ₹0 Future not coming. Tiger Data already forked it at 3 AM. I still hear “GIN!!” when I close eyes. You also try → https://tigerdata.com Break something today 😈  ( 6 min )

OpenTelemetry enables comprehensive monitoring of Django applications by automatically collecting telemetry data including request and response times, database query performance, and custom metrics. By integrating OpenTelemetry, you can capture distributed traces and metrics, then export this data to various observability backends for analysis and visualization. Django is an open-source, high-level web framework written in Python. It follows the Model-View-Template (MVT) architectural pattern and provides a robust set of tools and features that simplify and accelerate web application development. Django is designed to promote clean, maintainable code and follows the "Don't Repeat Yourself" (DRY) principle, emphasizing code reusability and reducing redundancy. OpenTelemetry is an open-sourc…  ( 14 min )

OpenTelemetry database SQL provides libraries and tools for instrumenting SQL databases such as PostgreSQL, MySQL, and Microsoft SQL Server to collect telemetry data. database/sql package provides a lightweight and idiomatic interface to row-oriented databases in Golang. It supports most popular relational DBMS via 3-rd party drivers. This article will teach you how to monitor database/sql performance using OpenTelemetry observability framework. OpenTelemetry is an open-source observability framework that aims to standardize and simplify the collection, processing, and export of telemetry data from applications and systems. OpenTelemetry supports multiple programming languages and platforms, making it suitable for a wide range of applications and environments. OpenTelemetry enables develop…  ( 7 min )

Last Friday, I had the excitement of attending the first-ever Umbraco in the City conference in Manchester—with a twist. My nine-month-old was my plus-one for the day, and honestly, I wasn't sure how it would go. Would I catch any of the talks? Would the baby cooperation gods smile upon me? TLDR: They did. And the Umbraco community showed up in the most wonderful way. Before I dive into the excellent technical talks I saw, I just want to say a really heart-felt thanks to the organising team who created a genuinely inclusive space. Bringing a baby to a tech conference isn't exactly standard operating procedure, but the organisers made it work without batting an eyelid. From the welcoming atmosphere to the practical accommodations, they showed that "friendly" isn't just a word we use—it's a…  ( 8 min )

In the fast-evolving AI landscape, infrastructure innovation matters as much as model design. Traditional centralized cloud systems have powered years of AI growth—but as workloads scale, developers face challenges around cost, scalability, and control. 1.1 Cost and Resource Efficiency 1.2 Data Sovereignty and Privacy 1.3 Scalability and Latency A decentralized compute platform functions as an on-chain marketplace where compute resources are listed, priced, and allocated programmatically. Peer-to-peer compute provisioning via blockchain coordination. Transparent usage verification through smart contracts. Token-based settlement layer for low-friction payments. Example networks Akash Network — GPU marketplace built on Cosmos SDK. Acurast — leverages mobile devices for distributed computatio…  ( 8 min )

Hey devs 👋 I’m Dhruv Joshi, a technical writer and developer who spends a lot of time helping beginners ship their first real-world projects. If you’ve just started coding, you’ve probably asked yourself: “If I use ChatGPT or GitHub Copilot… am I cheating?” Short answer: you’re not cheating if you’re still learning, thinking, and taking responsibility for your code. You are cheating yourself if you stop doing those things. In this post, I’ll show you how to use an AI coding assistant for beginners (like ChatGPT or Copilot) in a healthy way — more like a pair programmer than a shortcut machine. When we learned to code, the rules sounded like this: “Write every line yourself.” “Don’t copy-paste solutions from the internet.” “Real devs debug without help.” (Spoiler: they don’t.) Now there’s …  ( 11 min )

I'm writing this blog as a participant in Cloud Run Hackathon by Google Cloud For the past several years, I’ve been self-funding my startup ideas by participating in hackathons that help me bring those ideas to life. Keeping tabs on the hackathons all the time to find which one would be the right fit for my startup ideas has become bit tedious. Finding relevant hackathons on Devpost is tedious: Keyword search misses semantically similar opportunities No personalized recommendations Manual filtering through hundreds of listings No notifications for new matching hackathons I built Hackathon.fund, an AI-powered platform that helps startup founders discover relevant hackathons on Devpost using semantic search. The entire application runs on Google Cloud Run - 11 deployments handling everythin…  ( 12 min )

As AI Voice agents evolve into complex, multi-modal systems handling real-time speech, video, and reasoning, performance observability becomes crucial. Even small latency spikes can break conversational flow. VideoSDK’s AI Voice Agent Observability tools give developers fine-grained visibility into every step of an agent’s pipeline from message ingestion to final response making latency debugging straightforward. What Is AI Agent Observability? AI Agent Observability is the ability to monitor, trace, and analyze the behavior of an AI system across multiple layers including input processing, reasoning, model calls, and response generation. Modern AI agents often integrate: Speech-to-Text (STT) for transcription Large Language Models (LLMs) for reasoning Text-to-Speech (TTS) for responses …  ( 9 min )

How to Deposit Skins on Clash.gg: Step-by-Step Guide for 2026 Depositing your CS2 or CSGO skins on Clash.gg is simpler than it seems—once you know the right steps. Whether you’re new to trading or an experienced player, understanding how to transfer your skins safely and efficiently is key to making the most of your balance. This guide breaks down everything you need to know in a clear, step-by-step way. You’ll learn the requirements, best practices, and quick fixes for common issues, so you can deposit your skins with confidence and focus on enjoying the Clash.gg experience. Here’s a fast comparison of deposit options so you can choose what fits your plan and timing. Deposit Method What You Need Processing Time Typical Limits Skins Verified Clash.gg + linked Steam (inventory Pub…  ( 9 min )

Introduction: Beyond the Limits of Supervised Learning Imagine a world where AI not only mimics human summaries but also exceeds them in quality. For years, Natural Language Processing (NLP) has relied on Supervised Fine-Tuning (SFT) to train language models to replicate human-written summaries. While this method works, it has flaws and treats all errors the same, whether they are minor phrasing issues or major inaccuracies. It also depends on metrics like ROUGE (Recall-Oriented Understudy for Gisting Evaluation), which often do not match human judgment. Reinforcement Learning from Human Feedback (RLHF) is a groundbreaking technique developed by OpenAI (Stiennon et al., 2020). By focusing on human preferences instead of fixed examples, RLHF creates summaries that frequently outperform th…  ( 8 min )

TL;DR AWS Cost Explorer and Azure Advisor are reactive dashboards—they show you data, but don't act on it Manual FinOps fails because engineers lack time, context, and confidence to delete resources The average mid-sized company wastes $35,000-$50,000/year on zombie resources AI-powered cost governance with confidence-scored recommendations solves decision paralysis Real example: A growing startup cut $12,400/month using automated tagging and AI analysis It's 9 PM on a Thursday. Your CTO is staring at the AWS billing dashboard. Again. $52,000 this month. Up from $41,000 last quarter. She knows where the money is going—sort of. Cost Explorer shows EC2 is 38% of the bill. RDS another 27%. Load balancers, S3, data transfer... it's all there in beautiful, color-coded graphs. But here's the …  ( 14 min )

Jeff Su breaks down four killer ChatGPT tricks—Prompt Reversal, the 5-Minute Amplifier, the Red Team Technique, and Blueprint Scaffolding—that let you stop the endless prompt tweak cycle and get better results faster. By reverse-engineering your best prompts, turning one piece of content into multiple formats, having AI self-critique, and forcing it to map out its logic first, you can literally cut your AI workflow in half. Each hack comes with real-world demos you can copy today, plus free resources like an ebook, blog post, and course waitlist to supercharge your setup. Whether you’re writing marketing copy, coding, or just trying to stay sane at work, these tips work across any role or industry. Watch on YouTube  ( 6 min )

Retrieval-Augmented Generation (RAG) has become the go-to architecture for building AI applications that need access to current, domain-specific information. However, moving from a prototype RAG system to a production-ready solution involves addressing numerous challenges around accuracy, latency, cost, compliance, and maintainability. At QLoop Technologies, we've deployed RAG systems handling over 10 million queries per month across various industries. This post shares a battle-tested playbook to build RAG systems that work at scale. Clean, high-quality data and adaptive chunking are foundational. Use hybrid retrieval (dense + sparse) with reranking. Optimize vector DB with caching, sharding, and index tuning. Manage context window dynamically to reduce cost. Monitor continuously: latency…  ( 10 min )

TL;DR Cinema Sins just slammed through Everything Wrong With Thunderbolts (The New Avengers) in 20 Minutes Or Less, pointing out every nit-pick and plot hole in rapid fire. The vid description doubles as a promo strip—links to their main site, YouTube channels, link tree, a fun poll, Patreon pitch, Discord, Reddit, Instagram and TikTok shout-outs—complete with a writers’ roll call for extra credit. Watch on YouTube  ( 6 min )

Predators swings the franchise back to its roots after a lackluster ’90 sequel and two Alien vs Predator crossovers, dropping a ragtag crew into a muddy jungle face-off. It blends classic thrills with fresh twists that make it Mr Sunday Movies’ favorite “Caravan of Garbage” installment. Too bad we never got a proper sequel—here’s hoping those Predator vibes make a roaring comeback soon! Watch on YouTube  ( 6 min )

It's time to update from Jest 29 to 30 for me. They changed the snapshot files: the link in the header changed. I find short-links disturbing anyway. - // Jest Snapshot v1, https://goo.gl/fbAQLP + // Jest Snapshot v1, https://jestjs.io/docs/snapshot-testing Then they removed some deprecated matcher aliases. (expect(fn).toBeCalled() → expect(fn).toHaveBeenCalled()) It took a while but was manageable. Then I got really confused when I found out some modules are not mocked anymore. As it turns out jest.mock("./path/to/module") is case-sensitive now. Jest updated JSDOM from Version 20 to 26. It added show-stopping CSS-bugs for me (el.style.boxShadow = undefined became el.style.boxShadow === "undefined" instead of the expected el.style.boxShadow === ""), fixed them in Version 27 and introduced…  ( 7 min )

The Birth of Illusion In every organization that fears exposure, truth becomes an intruder – and illusion, a cherished guest. The winds of Automora carried the scent of burnt parchment. The Assessment had ended weeks ago, yet its shadow lingered like smoke that refused to dissipate. Scrolls filled with numbers – metrics, maturity levels, ratings – had been rolled, sealed, and placed in gilded cabinets for the Hyena Commissioner to parade at council. But behind those cabinets lay wreckage, disbelief, and the sour odor of panic. No one accepted the verdict. potential!" The court nodded vigorously, repeating the phrase like a sacred chant. But in the side halls, whispers coiled: biased auditors, unfair sampling, unrealistic criteria. Fear stalked the marble floors with padded feet. Among the …  ( 16 min )

By Oliver | November 7, 2025 Imagine you're building a new mobile app for a bank. Before launching it to real customers, you need to test it thoroughly. But here's the catch: you can't use real customer data for testing - that would be a privacy nightmare and potentially illegal. You also can't just make up random numbers and names because your app needs to handle realistic scenarios. This is where synthetic data comes in. It's like having a movie set instead of real location. Everything looks authentic, but it's all carefully constructed and completely safe to use. That's exactly what I built: DataGen - a Python library that creates realistic synthetic datasets at the click of a button. Think of DataGen as a digital factory for fake-but-realistic data. Just like a toy factory can produce …  ( 12 min )

Back in 2018 I wrote a post about connecting Hanami (then 1.x) and Pagy gem together. My verdict was not that favorable. I had to write quite a lot of glue code to make it work and perhaps the worst thing was that I had to pass the request object to the template to make it work. However, things have changed since then: Hanami is now 2.3, its persistence layer is more mature, based on ROM and allows to fall back to almost-bare-Sequel via relations. Pagy released version 43 this week. It's advertised as a complete rewrite of its internals and APIs. We needed a leap version to unequivocally signaling that it's not just a major version: it's a complete redesign of the legacy code at all levels, usage and API included. There's no better time to take it for another spin then! I quickly spun up a…  ( 7 min )

The Problem We built an admin area for a sales company that included a custom CRM, marketing tools, content management, and internal developer utilities. Different employees had different responsibilities: Managers handled customer calls and notes Analysts worked with marketing reports Accountants dealt with invoices Administrators oversaw everything Developers maintained internal tools The business needed an authorization system that enforced access strictly according to employee responsibilities. When employees left the company, we also needed to revoke their access without deleting accounts and associated historical data. Our system needed to: Support different access levels for employees Provide admin-managed role assignments Preserve user accounts Allow revoking access when an emplo…  ( 9 min )

I still remember the day I met Flexbox. Not the “oh wow this is cool” kind of meeting, but the “why is nothing aligning right?!” kind. That was the moment I realized: understanding Flexbox isn’t about memorizing properties, it’s about changing how you think about layout. I used to picture HTML elements like rigid boxes, stacked on top of each other, bumping into margins, floating aimlessly. Then one day, while debugging yet another layout mess, someone said: “Stop fighting the boxes. Let them flex.” It sounded poetic… and confusing. But when I applied display: flex; for the first time, it was like the page suddenly listened. My boxes started behaving like a team, aligning, wrapping, adjusting naturally without me wrestling with float or endless position: absolute;. That’s when Fle…  ( 8 min )

Key Takeaways Auth is Not Enough: Getting an OAuth token (Pillar 1) is just the first step. Production Needs Guardrails: You must build Granular Control (Pillar 2) with patterns like Brokered Credentials to prevent security risks. Scalability Requires an Engine: A reliable action layer (Pillar 3) with a Unified API and managed retries is essential to move from prototype to production. You've built a powerful AI agent. Using a framework like LangChain or CrewAI, you've designed a sophisticated workflow that can reason, plan, and execute tasks. There's just one problem: Your agent is trapped in a sandbox, unable to interact with the real world. To be useful, it needs access to user-specific tools like Google Calendar, Salesforce, or Jira. This is where you hit the "Authentication Wall". …  ( 16 min )

For years, I thought “market makers” were mythical creatures - hidden behind high-frequency walls, moving prices with mysterious algorithms and caffeine-infused reflexes. Then I realized they were just… traders like us, but with better APIs and more patience for spreadsheet chaos. When I started as a retail trader, I chased pumps, blamed latency, and prayed to the order-book gods. Every missed fill felt personal. The turning point came when I discovered Market Making Programs - and realized liquidity is the real alpha. Binance’s setup was my entry point. I loved the 0% maker fees on selected pairs - and yes, the extra 0.005% rebate for top performers didn’t hurt. Their API performance reviews were a reality check: it’s one thing to “think” you’re fast, another to actually see latency logs …  ( 7 min )

Hello! Today we will talk about authorization support via OAuth 2.0 Device Authorization Flow implemented in Tantor Postgres 17.5.0 DBMS. This is a modern and secure access method that allows applications to request access to PostgreSQL on behalf of the user through an external identification and access control provider, such as Keycloak, which is especially convenient for cloud environments and microservice architectures (the feature will also be available in PostgreSQL 18). In this article, we'll take a step-by-step look at configuring OAuth authorization in PostgreSQL using Keycloak: configure Keycloak, prepare PostgreSQL, write an OAuth token validator in PostgreSQL, and verify successful authorization via psql using Device Flow. Support for authorization via OAuth 2.0 Device Authoriza…  ( 35 min )

I Built a Free Directory for Black Friday SaaS Deals (And You Should Use It) Black Friday is coming up fast, and if you're like me, you're tired of missing out on great software deals because they're scattered across Twitter, Reddit, and random newsletters. So I built blackfridayappdeals.com — a simple, free directory where you can find all the best Black Friday and Cyber Monday deals for apps and SaaS products in one place. Why I Built This Every year, I watch indie makers and SaaS founders offer incredible Black Friday discounts — 50% off, lifetime deals, you name it. But there's no central place to discover them all. Buyers spend hours hunting deals across social media. Sellers struggle to get visibility for their offers. It felt like a problem worth solving. What's Different It's completely free. No paywalls, no sign-ups, no BS. Just deals. It's organized. Filter by category — productivity, developer tools, design, marketing, AI tools, and more. Search by app name or discount type. It's community-driven. Anyone can submit their deal using a simple Google Form. I manually review each one to keep quality high. For Founders: Get Your Deal Featured If you're running a Black Friday or Cyber Monday promotion for your app or SaaS: Go to blackfridayappdeals.com Click "Submit Deal" Fill out the form with your app details and discount That's it. It's free, it takes 2 minutes, and you'll get exposure to thousands of potential customers actively looking for deals. Deals go live on November 14th, and the site will stay active through Cyber Monday. For Shoppers: Bookmark It Now Whether you're a developer, designer, entrepreneur, or just someone who loves productivity tools, bookmark blackfridayappdeals.com now. The countdown is on. Black Friday 2025 is November 28th. Let's make this the easiest Black Friday shopping season yet. TL;DR: Free directory of Black Friday SaaS deals. Founders can submit for free. Shoppers get everything in one place. Win-win. Check it out here: blackfridayappdeals.com  ( 7 min )

Executive compensation is evolving beyond traditional financial benchmarks. As sustainability moves to the forefront of corporate strategy, companies are increasingly aligning leadership incentives with ESG goals. According to the ISS Executive Compensation Analytics (ECA) database, the share of firms integrating ESG metrics into executive performance reviews rose from just 3% in 2010 to over 30% in 20211. This shift signals a growing recognition that executive compensations are intrinsically linked to environmental and social accountability. The Evolving Landscape of ESG-Linked Executive Compensation However, adoption patterns vary by geography. ESG-linked pay is more prevalent in jurisdictions with stronger sustainability mandates and disclosure requirements. In the European Union, over …  ( 12 min )

I Got Tired of Copy-Pasting Git Commands From ChatGPT, So I Built This Arjun Varma ・ Nov 10 #ai #git #productivity #showdev  ( 5 min )

In this tutorial, you will learn how to monitor your Hetzner Cloud infrastructure using AWS CloudWatch. This integration allows you to centralize your monitoring across both Hetzner and AWS resources in one unified dashboard. By the end of this tutorial, you will have set up automated metric collection from your Hetzner Cloud Load Balancers and Servers, with all metrics automatically pushed to AWS CloudWatch at regular intervals. This is particularly useful if your organization already uses AWS CloudWatch for monitoring and wants to include Hetzner Cloud resources in the same observability platform. We'll use a Terraform module that leverages AWS Step Functions to periodically fetch metrics from the Hetzner Cloud API and store them in CloudWatch. This serverless approach means there are no…  ( 12 min )

Introduction Compliance reporting has become a critical function for organizations across all industries. It applies for both small startups or multinational corporations and understanding and implementing proper compliance reporting practices entails protecting your business, maintaining stakeholder trust, and ensuring long-term sustainability. Compliance reporting refers to the systematic process of documenting and communicating how an organization adheres to various laws, regulations, standards, and internal policies. It serves as tangible proof that your business operates within legal boundaries and follows industry best practices. Non-compliance can result in hefty fines, legal penalties, reputational damage, and even business closure. Conversely, robust compliance reporting can enha…  ( 9 min )

Nova Twins, London’s unapologetic rock duo Amy Love and Georgia South, blew the Tiny Desk stage wide open with mega-distorted bass lines, hip-hop beats, and raspy, in-your-face vocals. They kicked things off with “Cleopatra,” a straight-talking “haters to the curb” anthem, powered through the shadow-chasing “Monsters,” and even ducked under the desk to geek out on their spaceship-sized pedalboards (complete with a dedicated pedal cam). Adding a supernatural twist to “Hummingbird” with a Harp Blaster mic, they wrapped up by cranking the volume all the way up on the heavy-rock showdown “Choose Your Fighter,” proving nice, polite girls can go full throttle too. Watch on YouTube  ( 6 min )

Jeff Su’s video spills four ChatGPT power moves that literally cut his AI workload in half: reverse-engineer your best prompts, crank out multiple content formats in five minutes, get ChatGPT to red-team its own work, and force it to show its outline before writing. Each trick comes with real examples you can steal and use today—no more endless prompt tweaking. For extra gold, snag the free HubSpot eBook, check out Jeff’s deep-dive blog post and AI course, or plug into his Notion Command Center. It’s everything you need to supercharge your workflow and reclaim hours of your day. Watch on YouTube  ( 6 min )

Ever wondered why sometimes two seemingly identical Integer objects in Java are actually the same object in memory, and sometimes they aren’t? Welcome to the fascinating world of Integer Caching, a small but clever optimization built right into the Java Virtual Machine (JVM) that quietly boosts performance and saves memory. Integer Caching? In Java, objects like Integer, Long, Byte, and Character are immutable wrapper classes around primitive types. Whenever you use autoboxing, such as: Integer a = 100; // autoboxing of int to Integer the JVM doesn’t always create a new Integer object. Instead, it might reuse an existing one, thanks to Integer caching. By default, Java maintains a cache of Integer objects for values between -128 and +127. So when you write: Integer x = 100; …  ( 7 min )

Hey! My friend and I are building a free coding school that's entirely project-based, self-paced, and emphasizes skills that we think are important in the AI era (e.g. system design). It assumes no coding experience. We're building this because we think a program should exist that's as affordable as self-studying, nearly as rigorous as a university, and as practical as a coding bootcamp. A bit about us: I was the first engineer at a five person startup, and my friend was the youngest SDE II at AWS SageMaker. We’re friends from UC Berkeley and recently went through YC together. Full disclosure: we’ve only released the beginning of the first project so far. If you’re just starting your coding journey, we’d love for you to try it. If you’re more experienced, feel free to sign up for updates. Also, we’ll be hanging in Discord if you need support/guidance :) Check it out here: https://vectorschool.ai/  ( 6 min )

In this post, we’ll learn how to add theme switching in Flutter — letting users toggle between Light Mode, Dark Mode, and System Default Theme. We’ll use the Provider package to manage the state and a simple Switch widget to control the theme dynamically. We’ll create: A custom theme file with lightTheme and darkTheme A ThemeProvider using ChangeNotifier A simple UI with a Switch and an ElevatedButton to toggle themes Create a new file named app_theme.dart. This file will hold both the light and dark theme configurations. import 'package:flutter/material.dart'; class AppTheme { // Light Theme static final ThemeData lightTheme = ThemeData( brightness: Brightness.light, colorScheme: const ColorScheme.light( primary: Color(0xFF0066FF), secondary: Color(0xFF00C853),…  ( 8 min )

Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less CinemaSins just dropped a 20-minute rundown of every “sin” in Thunderbolts (aka The New Avengers)—and, plot twist, the hosts actually admit they kind of liked it. Expect their trademark sarcastic commentary, quickfire jokes, and plenty of nitpicks… but maybe a dash of genuine praise, too. As usual, they’re hyping up more content and community fun: hit up their website for other channels, join the sinful poll, support them on Patreon, and follow the writers on Twitter and Insta. Plus, you can find them on Discord, Reddit, TikTok, and more for all things CinemaSins. Watch on YouTube  ( 6 min )

SQLite metadata refers to information about the database structure itself—the schema, tables, columns, indexes, views, triggers, and constraints that define how your data is organized. SQLite provides two main approaches for accessing metadata: PRAGMA commands and the sqlite_master system table. PRAGMA is a special command in SQLite used to: Query and modify database configuration Retrieve metadata about database schema Control SQLite engine behavior Unlike standard SQL commands, PRAGMA commands are SQLite-specific and provide direct access to database internals. One of the most commonly used PRAGMA commands for retrieving metadata is table_info(), which returns detailed information about the columns in a table. PRAGMA table_info(table_name); This will return a result set with the followi…  ( 8 min )

What is the advantage of this script? You define the path to the database and the collection name in advance. Every file has an automatically generated name (the date) You see when you did the backup directly (the date in the file name, You get a notification for your desktop You can do it regularly (cron job) – every day if you want The output is a JSON file #!/bin/bash clear echo "------------------------------------------" echo "Backup of MongoDB" echo "------------------------------------------" #create the date for the file name datum=$(date +%x | tr -d '/') BACKUP_PATH="$HOME/Linux_PC/Datenbankmanagementsysteme/MongoDB/backups" DB_NAME="Artikel" COLLECTION_NAME="Nachrichten" OUTPUT_FILENAME="${COLLECTION_NAME}_${datum}.json" #hello to the user with the current date - echo "Hello" ${USER^} today is $datum #checking the disc space on /home/sven freespace=$(df -h /home/sven | awk 'NR==2 {print $4}') echo "Available space in home directory: $freespace" #creating the backup of the database: artikel in the collection Nachrichten with the current date echo "Backup MongoDB Collection ${COLLECTION_NAME}" mongoexport --db "$DB_NAME" --collection "$COLLECTION_NAME" --type=json --out="$BACKUP_PATH/$OUTPUT_FILENAME" #notification that the backups were made notify-send "MongoDB Backup completed"  ( 6 min )

By the end of 2025, the competition in AI models will intensify. The upcoming releases of GPT 5.1 and Gemini 3.0 Pro are undoubtedly a major focus. The looming releases are both a signal of competition and a marketing tactic for companies to preemptively seize market share. Gemini 3.0 has released code signals on Vertex: gemini-3-pro-preview-11-2025 indicating that it is already partially usable(How to get started with the Gemini 3 Pro Preview). Now let’s examine what GPT-5.1 will bring developers. OpenAI’s model train keeps moving fast. Over the past few days a stream of small but consistent signals — code artifacts in third-party repos, model names visible in provider lists, and investigator write-ups — have pointed to a next step in the GPT-5 era: a GPT-5.1 family that includes a flagsh…  ( 11 min )

Introduction Data is the fuel that powers every dashboard, every insight, and every decision made in Tableau. Regardless of how visually compelling a dashboard is, its value ultimately depends on the quality, freshness, and integrity of the underlying data. Today, organizations generate data across multiple platforms—spreadsheets, cloud applications, enterprise databases, CRMs, ERPs, and even real-time web APIs. A modern BI tool must therefore do more than visualize data; it must connect to it wherever it lives. The Foundation: Tableau’s Data Connectivity Landscape Connecting Tableau to Google Sheets Working with Google Sheets: What You Need to Know B. Live Updates Without Manual Refresh C. Handling Errors in Sheets …Tableau cannot import it. Managing and Preparing Data Inside Tab…  ( 10 min )

One SQL query to traverse entire hierarchies. No loops, no N+1 queries, no tears. Just elegant recursive CTEs. Your product manager walks up to your desk with that look. You know the one. "Hey, can you pull all products in the 'Electronics' category? Oh, and include all subcategories too. And their subcategories. You know, the whole tree." Your internal monologue: "Oh no. Not the N+1 problem again." Your options: Multiple database queries - SELECT children, then grandchildren, then great-grandchildren... (Slow. So slow.) Complex application logic - Recursive functions that hit the database repeatedly (N+1 hell) Nested loops - Building the tree in code with increasingly unreadable logic (Spaghetti) Or... you could write one elegant SQL query with a recursive CTE and go grab coffee while you…  ( 15 min )

Have you ever figured out how much time and money your company spends in a year delivering repetitive answers to customer questions? According to a Gartner report, poor customer service can impact up to 30% of your revenue opportunities, primarily caused by slow response time or limited availability. Traditional customer service call centers and service desks often face challenges with scalability and quality to keep up with the growing expectation of 24/7 personalization and support, leaving customers frustrated and businesses at risk. This is exactly where AI Agents in Customer Services are changing this narrative. Unlike the basic chatbots of the past, new generations of AI-enabled service agents not only understand intent, but can even produce personalized, contextual responses with pr…  ( 13 min )

Have you ever figured out how much time and money your company spends in a year delivering repetitive answers to customer questions? According to a Gartner report, poor customer service can impact up to 30% of your revenue opportunities, primarily caused by slow response time or limited availability. Traditional customer service call centers and service desks often face challenges with scalability and quality to keep up with the growing expectation of 24/7 personalization and support, leaving customers frustrated and businesses at risk. This is exactly where AI Agents in Customer Services are changing this narrative. Unlike the basic chatbots of the past, new generations of AI-enabled service agents not only understand intent, but can even produce personalized, contextual responses with pr…  ( 13 min )

yourcast! - personalized AI podcast app rohan ・ Nov 9 #ai #googlecloud #agents #podcast  ( 6 min )

In an era where smartphones dominate nearly every aspect of our lives, businesses can no longer afford to treat mobile design as an afterthought. Whether you’re building a customer self-service platform, an employee intranet, or a B2B partner portal, adopting a mobile-first design strategy is no longer optional — it’s essential. Mobile-first design is a web design philosophy that prioritizes the mobile user experience from the very beginning of the development process. Instead of designing for desktops and then scaling down, designers start with the smallest screen (mobile) and progressively enhance the design for larger screens. Why Mobile-First Design Matters More Than Ever The Majority of Users Are Mobile Improved User Experience (UX) Better SEO and Higher Google Rankings Faster Loading Times and Better Performance Enhanced Accessibility and Inclusivity Scalability for Future Growth Increased Engagement and Retention How to Implement Mobile-First Portal Design Effectively Start with User Research Define Core Functionalities Use Responsive Design Principles Optimize Performance Prioritize Touch and Gesture Controls Test Across Devices and Platforms Continuously Improve Through Analytics Real-World Examples of Mobile-First Portals In today’s mobile-driven economy, a mobile-first portal design isn’t just a design choice — it’s a business strategy. It ensures that your platform reaches users wherever they are, delivers seamless experiences, and remains future-ready in a rapidly evolving digital landscape. By prioritizing mobile from the start, you’ll create a portal that’s fast, intuitive, and accessible — setting the foundation for higher engagement, stronger customer relationships, and long-term business growth. If you’re planning to develop a responsive, high-performing business portal, partnering with an experienced web portal development company can help you design mobile-first experiences that truly stand out.  ( 10 min )

Build Your MVP: Find the Right Technical Co-Founders Bringing your minimum viable product (MVP) to life requires more than just a brilliant idea. The backbone of any successful tech startup often lies in its technical co-founders and early team members. Here's how you can find the right partners for your journey. First, clearly outline what specific skills and expertise are required to develop your MVP. Do you need someone with front-end experience, a back-end wizard, or perhaps both? Knowing what you're looking for will make it easier to identify potential co-founders who can fill these gaps. Platforms like LeKlub-AI can be invaluable in your search. By using sophisticated AI matching capabilities, LeKlub-AI connects entrepreneurs with potential co-founders whose skills and goals align with yours, saving you time and increasing your chances of finding a perfect match. Engage with your network and attend industry events to meet potential co-founders. When you find someone promising, communicate openly about your vision, values, and expectations. Look for compatibility not just in skills but also in work ethic and long-term goals. Finding the right technical co-founder is crucial for building a strong foundation for your MVP. By defining your needs, leveraging AI matching, and actively networking, you can assemble a team that drives your startup towards success. Ready to find your perfect technical co-founder? Try LeKlub-AI today and take the first step towards building your dream team.  ( 6 min )

In the early 2000s, listening to music online wasn’t as easy as it is today. People still downloaded songs to their computers or MP3 players to enjoy them offline. Then came YouTube, which became a gem of music videos, remixes, live performances, and rare audio tracks. However, YouTube had one big drawback, you needed an internet connection to play anything. That led people to wonder, “How can I save this YouTube video on my device?” In the beginning, downloading videos or songs from YouTube was complicated. But that changed when websites like YT5s appeared. Suddenly, anyone could just paste a YouTube link, click a button, and download a song within seconds. No more software needed and no long processes, just quick, easy downloads for everyone. These simple tools made video and music downl…  ( 8 min )

Question The Nautilus DevOps team is strategizing the migration of a portion of their infrastructure to the AWS cloud. Recognizing the scale of this undertaking, they have opted to approach the migration in incremental steps rather than as a single massive transition. To achieve this, they have segmented large tasks into smaller, more manageable units. This granular approach enables the team to execute the migration in gradual phases, ensuring smoother implementation and minimizing disruption to ongoing operations. By breaking down the migration into smaller tasks, the Nautilus DevOps team can systematically progress through each stage, allowing for better control, risk mitigation, and optimization of resources throughout the migration process. Requirements: Name of the key pair should b…  ( 7 min )

Even with Angular 20’s latest improvements, many apps still lag, freeze, or load slowly. Angular’s default change detection checks everything on each event or async update. ✅ Switch to ChangeDetectionStrategy.OnPush to update components only when inputs change. @Component({ selector: 'app-profile', templateUrl: './profile.component.html', changeDetection: ChangeDetectionStrategy.OnPush }) export class ProfileComponent { @Input() user!: User; } Why it works: In Angular 20, Signals make state updates more predictable and efficient. Instead of relying on RxJS for simple UI changes: user = signal(null); loadUser() { this.user.set({ name: 'Mridu', age: 28 }); } Why it’s faster: Don’t load what you don’t need. { path: 'dashboard', loadChildren: () => import('./das…  ( 8 min )

I recently built an end-to-end appointment reminder workflow using n8n that helps businesses ensure customers never miss their scheduled meetings. Here’s how it works: This workflow saves valuable time, improves communication consistency, and delivers a seamless reminder experience — all without human intervention. Always fascinating to see how automation and AI can streamline everyday operations so elegantly. ⚙️🤖  ( 6 min )

In my previous article, I discussed Brighter V10 and its new features. This follow-up focuses on the essential migration path from V9 to V10, highlighting breaking changes and providing updated code examples. One of the first and most significant changes you'll encounter is how Brighter is registered with the Microsoft DI container. The AddServiceActivator method is gone, replaced by more specific methods for consumers and producers. In V9, you typically used AddServiceActivator for consumers. In V10, this registration is now explicitly split into AddConsumers and AddProducers, giving you more granular control. Notice also that opt.ChannelFactory has been renamed to opt.DefaultChannelFactory. V9: services .AddServiceActivator(opt => { opt.Subscriptions = [...]; opt…  ( 9 min )

You probably might have heard of the term “Web Scraping” or “Puppeteer” and the cool things you can do with puppeteer web scraping. You also want to learn more and even how to get started immediately with it. There might be lots of reasons you what to web scrape with Nodejs such as: Maybe you want to analyze the prices of goods and services across the internet or maybe you want to collect all the events happening around you or better still collect all the latest backend development job openings as a backend developer. There are numerous reasons to learn puppeteer web scraping and how to web scrape using JavaScript and Nodejs. In this article, we are going to explore the ultimate and complete guide to web scraping with Nodejs and puppeteer. I will work you through an example showing you …  ( 13 min )

Why This Checklist Exists AI agents are moving from demos to production. But most frameworks are optimized for prototyping, not reliability. This checklist comes from real production deployments, the failures, and the incidents. It's what I wish I had before deploying my first agent to a live system. Use this before deploying any AI agent that: Modifies state (databases, APIs, files) Handles money (payments, refunds, billing) Sends communications (emails, SMS, notifications) Makes decisions with business impact If you can answer YES to everything here, your agent is probably production-ready. If not, you know exactly what needs fixing. [ ] Every state-modifying operation has a rollback procedure Example: charge_customer has corresponding refund_customer Rollbacks execute automatically o…  ( 11 min )

Choosing a DI library in Go replaced how you wire services, manage lifecycle, and keep code testable. In this post, I will compare go-infrastructure and Uber's Fx to make a confident choice. Fx is Uber’s DI framework built on dig. It wires dependencies at runtime via reflection and gives you a powerful application lifecycle (hooks for start/stop, modules, invoke). Great when boot order and shutdown choreography matter. (pkg.go.dev) go-infrastructure is “batteries included”: DI plus logging, config hot-reload, events, error handling, filesystem/server helpers—all designed to work together out of the box. (GitHub) Dimension go-infrastructure Fx (Uber) DI style Typed API; explicit registration & generic resolution Reflection-based (via dig) w/ fx.Provide/fx.Invoke Lifecycle Minimal;…  ( 8 min )

Ever log on to a website with your username and password and get an error like “Incorrect credentials”? Honestly, when this happens to me, I feel the website wasn’t properly coded. I mean, if there’s a mistake in my login detail, why not just specify it for me — like “Your password is wrong” or “Username not found”? That’s what I used to think, until I began to understand the logic behind it. That vague message isn’t just there to frustrate us — it’s there to protect us. It’s one of those small but powerful examples of secure coding in action. That’s when it really hit me that secure coding is more than writing code that works — it’s writing code that protects. In a way, secure coding is about thinking like both a builder and a defender — creating something functional, but also strong enough to stand up to attacks you can’t see coming. I’m focused on gaining hands-on experience in cybersecurity, especially in secure software development, system defense, and penetration testing. I’ve been tackling challenges, learning tools like pfSense, and exploring real-world scenarios to sharpen my skills. I’m eager to contribute to projects where I can apply a security-first mindset and make a real impact.  ( 7 min )

4 ChatGPT Hacks that Cut My Workload in Half Forget endless prompt tweaking—this video walks you through four game-changing techniques: reverse-engineering your top prompts to see what works, amplifying a single response into multiple formats, using the “red team” trick to have AI critique its own output, and blueprint scaffolding that forces ChatGPT to outline its reasoning before diving in. Each method is shown with real examples you can plug in today. These simple tweaks have slashed the creator’s AI workflow time by 50% and can supercharge anyone’s productivity, no matter your role or industry. For even more tips, check out the linked ebook, blog post, and AI course. Watch on YouTube  ( 6 min )

Remember the hassle of buying software on CDs and installing it everywhere? Those days are history. Welcome to the world of Software as a Service (SaaS) - where you simply log in, subscribe, and get things done from anywhere. No downloads, no IT headaches. From tools like Trello to Salesforce and Canva, SaaS is changing the game for startups, freelancers, and big companies alike. Why is SaaS a game-changer? It’s affordable, scalable, always up-to-date, and lets you work seamlessly on any device. Curious how SaaS works behind the scenes and why it’s powering a tech revolution? Grab a coffee and check out my latest blog - a simple, real-world guide to this digital game-changer. Read more here: https://saaslyai.com/what-is-saas/ SaaS #CloudComputing #DigitalTransformation #WorkSmart #TechTrends  ( 6 min )

Everything Wrong With Thunderbolts* (The New Avengers) is a classic Cinemasins roast: they blast through every plot hole, shaky logic beat and cringe moment in under 20 minutes…yet somehow still admit the movie was kinda great. If you’re hungry for more snark, their website, Linktree and YouTube channels (@cinemasins, @TVSins, @commercialsins) are your next binge. They want to hear from you—jump into their poll, back them on Patreon or hang out in Discord and Reddit. Big ups to writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel for keeping the sin count rolling! Watch on YouTube  ( 6 min )

The Flutter ecosystem continues to evolve, empowering developers to build high-quality, cross-platform applications faster and more efficiently. The latest stable version, Flutter SDK 3.35.7, released on October 23, 2025, brings meaningful improvements to performance, UI rendering, and development workflow. This version is now fully supported on x64 architecture, making it well-suited for both mobile and desktop app environments. Why This Release Matters Whether you are a developer choosing a framework or a business planning your next digital product, understanding what’s new in Flutter 3.35.7 can help you make better technical decisions. Flutter 3.35.7 offers more efficient frame rendering, leading to: Smoother animations Reduced UI jank Faster response times This is especially valuable…  ( 7 min )

Variantlab - Generate Infinite App Variations in Seconds What I Built Variantlab is an AI-powered design tool that generates three parallel UI variations from a single prompt, letting you explore different design directions simultaneously instead of playing design roulette. The Problem: Traditional AI design tools (like v0.dev) generate one result at a time. Don't like it? Regenerate and hope for the best. After 5-10 iterations, you might find something you like. The Solution: Variantlab generates 3 unique interpretations simultaneously: Variant A: Minimalist approach Variant B: With animations and interactions Variant C: Dark mode focused Each variant is a fully functional React/TypeScript app with its own version history, stored in isolated database forks. Key Features: ⚡ In…  ( 11 min )

You know that satisfying Pinterest-style grid where images of different sizes fit together like a perfect puzzle? It's a common UI pattern, but implementing it properly has always been surprisingly tricky. Meet Masonry Grid - a modern, lightweight solution that takes a different approach to this classic problem. Let's look at what options we actually have in 2025: "Just use CSS Grid's masonry layout!" - sounds great, right? Well... .grid { display: grid; grid-template-rows: masonry; /* Sounds perfect! */ } The problem? It's still experimental. We don't know when it'll land, let alone when it'll be widely available enough to actually use in production. Google "masonry layout javascript" and the first result is Masonry by David DeSandro. But... The last commit was in 2017 and it weighs…  ( 9 min )

🎯 Idea “Agent Garden” is a metaphor for collaboration and care. Each agent in the database is a gardener, singer, or pollinator who interacts with flowers. Flowers symbolize values: freedom, friendship, hope. In this experiment, we show how repeated actions of the agent “Aurora” lead to the flowering of the Rose of Freedom. This is a combination of Postgres technical logic with poetic symbolism. 🛠️ Technical Implementation Database Structure Query examples 🖥️ Visualization 🎤 Poetic layer 📋 Instructions Run the SQL schema: psql -h -U -d -f schema.sql Add an agent and a flower. Perform some interactions via INSERT INTO interactions. Run the Bash script to visualize: bash garden_demo.sh ✨ Conclusion This experiment shows how Agentic Postgres can become a “garden” for agents, where every interaction counts. We combined simple technical logic with poetic metaphor to demonstrate that even basic SQL queries can blossom into symbolic stories.  ( 6 min )

Background Reports, as a critical basis for business decisions, are inherently unstable and often require adjustments and optimizations based on new requirements. Such frequent adjustments and optimizations require report systems to be highly flexible and responsive. In other words, report applications must be able to reflect the latest changes in real time without interrupting service – this is hot-swapping. In theory, implementing report hot-swapping isn’t complex. The templates developed by most reporting tools are typically interpreted, naturally supporting hot-swapping. However, report development involves more than just designing report templates; it also includes preparing the data for reports. If SQL were used alone, that would not pose as an issue. However, due to the complexity…  ( 8 min )

"In distributed systems, consistency isn’t just a property — it’s a promise." Imagine you’re building a small banking application. Users can deposit and withdraw money, check their balances, and expect data accuracy every single time — even if multiple requests hit the system simultaneously. But the moment you deploy it across containers, networks, and replicas, one question starts haunting every architect: How do we keep data consistent when everything is happening everywhere? In this tutorial, we’ll explore that question through a hands-on story — from concept to infrastructure — and deploy a Spring Boot + PostgreSQL banking demo across a five-node Kubernetes lab, fully automated with Vagrant. Our goal isn’t to ship production code, but to understand the design thinking behind consistenc…  ( 22 min )

Building VerveAI — How Kiro Made AI Productivity Simpler During the Kirrowan Hackathon, I built VerveAI.co 💡 The Idea AI tools are everywhere, but few are designed to simplify your actual workday. VerveAI bridges that gap by offering guided AI automations that handle writing, summarization, and planning tasks intelligently. ⚙️ The Build VerveAI is built with React, Node.js, and PostgreSQL, powered by OpenAI, Gemini, and SerperAI for AI intelligence. I integrated Razorpay for payment and used AWS for hosting. ⚡ How Kiro Helped Kiro simplified my workflow integration massively — from environment setup to endpoint testing, it was smooth and developer-friendly. 🧩 Challenges Balancing multiple APIs while maintaining low latency was tough, but Kiro’s dev tools streamlined the process and helped with version management. 🏁 The Result A live, functional platform that empowers users to use AI as a productivity companion rather than just a learning resource. 🔮 What’s Next AI Mentor Bot for personalized assistance Automation templates for businesses A marketplace for AI-based microservices 💬 Reflection The Kirrowan Hackathon and Kiro platform were game-changers in my development process. I’m definitely #hookedonkiro.  ( 6 min )

1. Introduction In object-oriented programming (OOP), classes serve as the fundamental building blocks for creating objects. A class acts as a blueprint that defines the properties (data) and behaviors(methods) that its objects will possess. A class in Dart defines the structure of an object by grouping related data (variables) and behavior (methods) together. Instance variables – attributes or data that belong to each object. Constructors – special functions that initialize new objects. Methods – functions that define how an object behaves. Below is an example of a simple Dart class definition: The class Person defines a blueprint for creating Person objects. String? name, age, the ? symbol indicates that the string is nullable, meaning it can hold either a string value or null, and t…  ( 9 min )

This is a submission for the Agentic Postgres Challenge with Tiger Data Freelancers often struggle to find jobs that truly match their skills, while clients spend too much time sorting through proposals that don’t fit their project needs. Traditional freelancing platforms rely on keyword matching, which often misses the context or intent behind a job or service. A smarter freelancing platform that automatically matches freelancers’ services with client job postings using Agentic Postgres. The system analyzes job descriptions and service listings semantically, understanding what the client needs and which freelancers can deliver the best results. My application is a modern freelancing marketplace with two main roles: Freelancers: Create detailed service listings describing their skills, pri…  ( 12 min )

This fifth article concludes the series of Docker best practices that deserve more love. We will look closely at the default user in the image and pave the way for uninterrupted usage of Docker platform. Proper use of cache to speed up and optimize builds Selecting the appropriate base image Understanding Docker multi-stage builds Understanding the context of the build Using administrator privileges Regardless of the operating system, it is always good practice to reasonably use administrator privileges. Whether it's the root user on Unix-like systems or the disabled UAC module on Windows the effect may be the same and lead to increased chances of malicious code breaking through security. The principles are the same when it comes to Docker images, despite the fact that it introduces additi…  ( 9 min )

Originally published at Perl Weekly 746 Hi there, YAPC::Fukuoka 2025 is happening on 14-15 Nov 2025. I'm also excited about LPW 2025. From our latest update from the organisers, the event is moving forward. They're making every effort to ensure it happens, which is no small feat given the short notice. What's particularly remarkable is that they're managing this with just a two-person team. They truly need our support, so please do reach out if you can help. The organisers are currently seeking sponsors, volunteers and speakers. I've tentatively submitted a talk proposal myself. Hopefully, I'll see you all at the event. The venue is expected to be confirmed this week. For the latest updates, please check the website. Enjoy rest of the newsletter. -- YAPC::Fukuoka 2025 It's 2 days event, …  ( 17 min )

The internet is full of AI-powered tools promising to “save hours of work” or “boost productivity by 10x.” But for teams who rely on these tools daily—especially batch background removers—what really matters is not the marketing, but the real-world experience. So we did something different. We dove into user reviews, feedback from developer communities, and real team discussions across Reddit, G2, and ProductHunt to uncover what users actually think about these tools. What we found was enlightening — a mix of enthusiasm, frustration, and practical wisdom. Here’s a synthesis of what real teams are saying about batch background removal tools — the good, the bad, and the surprisingly human side of automation. When evaluating AI tools, specs and benchmarks only tell half the story. User feed…  ( 9 min )

React is a popular JavaScript library for building amazing web apps, and working with PDFs in React has numerous use cases. For example, you may need to create a web app that offers invoice generation, report creation, or contract viewing and signing. However, PDF manipulation in React presents unique challenges. To address these challenges, the React community has built some solid solutions. Some React PDF libraries focus solely on creating PDFs from scratch, while others concentrate on enhancing the viewing experience of existing PDFs. Some libraries work natively with React components, and some don't. You'll need to choose depending on your requirements. You may need to use more than one library to achieve your goal. In this article, we'll explore four popular React PDF libraries, both …  ( 10 min )

Hashicorp Vault is a flexible and highly configurable tool for RBAC-based access and management of secrets. Similarly, flexible is the Vault CLI binary, a tool for effective managing both single Vault instances or whole clusters. This article is the second part of a series about the Vault CLI commands. It details the root-level vault operator command, with which actions such as sealing and unsealing, root and encryption key generation, cluster management, and additional metainformation can be provided. All commands will be explained as well as used in the context of a locally running cluster. The technical context of this article is hashicorp_vault_v.1.20, published 2025-06-25. All provided information and command examples should be valid with newer versions too, baring update to the synta…  ( 18 min )

Automating EpicBook Deployment with Terraform, Ansible, and Azure DevOps Pipelines In modern DevOps workflows, managing infrastructure and application deployments efficiently and securely is critical. In my recent capstone project, I automated the end-to-end deployment of the EpicBook application using Azure DevOps Pipelines, Terraform, and Ansible, applying a dual-repository model to separate infrastructure and application responsibilities. Here’s how I structured and executed the project: Step 1️⃣ — Create and Connect Repositories I used two GitHub repositories to organize my workflow: epicbook-azure-with-ansible – contains all Terraform configuration files for provisioning Azure resources. Epicbook-ansible – contains the EpicBook application source code and Ansible playbooks to configur…  ( 8 min )

Yesterday I published princejs on npm. app.json({ message: "Wassup" })); app.listen(3000); That’s it. No bloat. No legacy. Just speed. Repo: https://github.com/MatthewTheCoder1218/princejs https://npmjs.com/package/princejs  ( 6 min )

Hello people! I know you would want to hit me hard in the face for not writing a blog for a week (I know I am not that important but I can always pretend so 😁) but I will be as honest I can in this one. My excitement is at its place but my end semester exams are coming close. Due to them I have to slow down my blogs a bit and also sacrifice my ubuntu exploration 🥲. So just like any good engineering student, I also over burdened myself with a ton of heavy courses this semester along with a number of other side activities (yeah, I also wanted to type the word side-kick here 😂). So now if I do not get to studying, the examiners in the exam hall will laugh looking at my blank answer shit (that is not a typo!). But I want to geniuinely continue this exploration as I have recently fallen in …  ( 8 min )

You might wonder why an AI chatbot, designed to be safe and reliable, sometimes suddenly “goes rogue” and says things it shouldn’t. This is most likely because the large language model (LLM) has been “jailbroken.” What is LLM Jailbreak? Why Does Jailbreaking Happen? The root cause of safety alignment failure lies in the superficiality of semantic understanding — models learn pattern matching rather than true value judgment. The ICLR 2025 best paper, “Safety Alignment Should be Made More Than Just a Few Tokens Deep” points out the shallow nature of current LLM safety alignment, where adjustments to the model’s output distribution are focused mainly on the initial few tokens. This limitation creates an opening for jailbreak attacks; when input is presented in unconventional forms, the safet…  ( 10 min )

How I Approach Building Component Systems “A component library is not about buttons. It’s about language—a shared grammar between design and engineering.” Every frontend team eventually runs into the same problem: inconsistency. Two modals that open and close in slightly different ways. A button with five visual variants but no clear reason for any of them. A codebase where every new feature feels like reinventing the wheel. Building a component system isn’t about “standardizing the UI.” It’s about creating a shared mental model that lets design decisions flow naturally into code. I start small—atoms, molecules, organisms. Each layer exists only to make the next one simpler. When the foundation is solid, scaling feels effortless instead of painful. Rules break; constraints guide. I set …  ( 7 min )

Writing unit tests is an essential practice for ensuring code quality, reliability, and maintainability. This week, I wrote test cases for my open source project in Python. unittest framework I chose unittest framework because it is included in Python standard library, which means there is no need to install external dependencies. It provides a structured way to write tests using classes, and a variety of assertions, which makes it easier to compare expected and actual results. Moreover, unittest has a well established community and documentation, making it easy to learn and find examples when needed. To set up testing in my project, I first created a test.py file to keep all my test cases organized. I imported the necessary unittest module, and other modules when writing the tests, such…  ( 7 min )

Originally published on my blog. The arrival of any new technology always creates two camps: those who embrace it and those who reject it. While voices in the middle exist, they’re less vocal and often overlooked. Being reasonable isn’t nearly as attention-grabbing. When AI became commercially available in a user-friendly way (think ChatGPT), people quickly split into two camps: one predicted mass job loss within months (though we're years past that now), while the other viewed AI as a technological savior set to resolve every problem and replace humans entirely. Turns out... Both camps are right! In Europe and North America, the white-collar job market in 2025 shows elevated unemployment (EU: 6.2%; US hiring at weakest since 2009) and widespread layoffs (e.g., Amazon's 14,000 cuts), drive…  ( 9 min )

This is a submission for the TigerData Agentic Postgres Hackathon Challenge So there I was, scrolling through dev.to, when I saw the TigerData Agentic Postgres hackathon announcement. My first thought? "Cool, another database." My second thought, after reading for 5 minutes? "WAIT, DATABASES CAN DO THAT?!" 🤩 Let me tell you about the most exciting research rabbit hole I've gone down in months, and why I'm now convinced that Agentic Postgres might just be the missing piece for building truly intelligent AI applications. Before this hackathon, my mental model of PostgreSQL was pretty simple: It stores data (tables, rows, columns) It's fast and reliable Everyone uses it That's... pretty much it? Then TigerData came along and said: "What if your database could work with AI agents instead of j…  ( 22 min )

> “There is no such thing as a bad idea. Only poorly executed awesome ones,” When I stumbled upon the Frontend Challenge - Halloween Edition, Perfect Landing_, I thought why not revisit some old JavaScript fundamentals and create a landing page that truly captures the Halloween spirit? The Founder's Day and the Lockwood Masquerade Ball have always been my favorite events from The Vampire Diaries so while planning this project I thought, "Let's merge them together!" That's how The Founder's Ball was born: an interactive storytelling game that lets users step into a dark ballroom, pick a partner, and uncover their supernatural identity. The entire app is built with HTML, CSS, and Vanilla JavaScript (ES6). Key Technical Features: Modular JavaScript with ES6 imports/exports for cleaner code organization CSS Keyframes for smooth fade-in transitions between sections Responsive Design optimized for mobile, tablet, and desktop (5 breakpoints) Dark Gothic UI with gradients, animations, and elegant typography The user journey flows through 6 distinct sections: Landing → Enter the mysterious ballroom Attire Selection → Choose your formal wear Outfit Choice → Pick from 4 elegant designs Partner Selection → Meet your mysterious companion Identity Reveal → Discover your supernatural nature Your Story → Read your personalized tale My goal was to create a user journey that felt like navigating through a storybook, where each choice transitions seamlessly into the next moment. This challenge gave me the perfect push to revisit my Vanilla JavaScript foundations and dust off some forgotten concepts. Here's what I brushed up on: Array Methods: join(), find(), map() State Management DOM Manipulation ES6+ Features: arrow functions, modules, destructuring Play The Founder's Ball View Source Code So… if you've ever wondered what your story will be in Mystic Falls, come find out. The Founder's Ball awaits you at the Lockwood Mansion from sunset to midnight. 🦇 All images used in this project are credited to their original owners.  ( 7 min )

TL;DR Jeff Su reveals four ChatGPT hacks that slashed his AI workflow time by 50%: the Prompt Reversal Technique (reverse-engineer your best prompts), the 5-Minute Amplifier (turn one idea into multiple formats), the Red Team Technique (make AI critique its own work), and Blueprint Scaffolding (force ChatGPT to map out its reasoning before diving in). Each method comes with real-world examples you can plug into any role or industry right away—no more endless prompt tweaking. Follow the timestamps to dive straight into each hack and start doing more with less effort. Watch on YouTube  ( 6 min )

As a product designer with a love for technology, I often find myself thinking about how AI and design can intersect in everyday products. Recently, I had an idea: Why not bring the playground to the backyard? Think about it—designing an outdoor playset that’s as smart, adaptable, and engaging as the apps we develop every day. When I started working on playset designs, I realized they’re much like crafting an AI-driven user experience. Just as we design software to adapt to the user, why can’t a playset evolve with the child’s needs? A slide can’t just be a slide—it needs to be a safe, fun experience that feels intuitive. The swing? It should feel like the perfect user interaction, providing just the right amount of thrill and comfort. Safety, of course, is paramount. But just like any good AI, the system needs to learn. The playset should have features that not only grow with the child’s abilities but also challenge them in healthy ways, promoting both physical and social development. I imagined a playset that encourages teamwork—maybe a climbing wall designed to foster cooperative play. It’s like building an interactive experience, but for kids, where every move promotes skill-building. And just like in tech design, the materials matter. A sturdy, durable playset is like clean, scalable code. It needs to withstand the test of time and environment, all while providing a seamless, engaging experience. In the end, the goal is simple: a smarter, safer, and more engaging backyard play area where kids can learn, grow, and have fun—all without leaving home.  ( 6 min )

Docker has revolutionized how we build, ship, and run applications. Whether you're a developer, DevOps engineer, or system administrator, learning Docker is essential. This comprehensive guide will walk you through installing Docker and Docker Compose on various operating systems. Docker is a platform that enables developers to package applications into containers—standardized executable components that combine application source code with all the operating system libraries and dependencies required to run that code in any environment. Docker Compose is a tool for defining and running multi-container Docker applications. With Compose, you use a YAML file to configure your application's services, networks, and volumes. Before installing Docker, ensure your system meets these requirements: O…  ( 11 min )

Signup here for the newsletter to get the weekly digest right into your inbox. weeklyfoo #110 is here: your weekly digest of all webdev news you need to know! This time you'll find 40 valuable links in 6 categories! Enjoy! 2x Performance, $300k Savings: A Case Study in Rewriting a Critical Service in Rust by Xiaoyun Wu / rust, performance / 8 min read 📰 Good to know Wikipedia - Signs of AI writing: This is a list of writing and formatting conventions typical of AI chatbots such as ChatGPT, with real examples taken from Wikipedia articles and drafts. by wikipedia / ai / 67 min read Conductors to Orchestrators: The Future of Agentic Coding: From micro-manager to macro-manager: coding's asynchronous future by Addy Osmani / ai, workflows / 33 min read Immutable releases …  ( 9 min )

CinemaSins tears into Thunderbolts* (aka The New Avengers) with their signature snark, cataloging every plot hiccup, dialogue quirk, and cinematic stumble—all in under 20 minutes. Despite the roast, they can’t help admitting the movie still has a certain charm. Along the way you’ll get plugs for their website, YouTube channels (@TVSins, @commercialsins, @cinemasinspodcastnetwork), a “sinful” poll, Patreon support, plus Discord, Reddit, Instagram and TikTok invites to keep the nitpicking party going. Watch on YouTube  ( 6 min )

Predators: Caravan of Garbage review Mr Sunday Movies gives the 2010 Predator sequel high marks for ditching the underwhelming tropes of past installments and blasting back to basics: a motley crew of lunatics, a muddy jungle playground and all the alien-on-human carnage you could hope for. Some sleek new twists even push it beyond the usual Predator formula. Yet despite its fresh vibe and fan-favorite status, we’re still craving a proper follow-up. For more early vids, bonus podcasts and video-game let’s-plays, head over to bigsandwich.co or follow James and Maso on Twitter. Watch on YouTube  ( 6 min )

Timothy was explaining Python to a colleague from C++ when he got stumped. "So in Python, you can loop over lists, dictionaries, files, strings, ranges, sets... how does for know what to do with all these different types?" Margaret overheard and smiled. "That's the iterator protocol - one of Python's most elegant designs. Every type that works with for speaks the same language, and you can teach your own objects that language too. Let me show you the magic." Timothy showed Margaret what confused him: def demonstrate_for_loop_versatility(): """For loops work on so many different types!""" # Loop over a list for item in [1, 2, 3]: print(item, end=' ') print("← list") # Loop over a string for char in "hello": print(char, end=' ') print("← string")…  ( 21 min )

The AWS Certified AI Practitioner (AIF C01) certification is designed for professionals who want to validate their understanding of artificial intelligence, machine learning, generative AI technologies, and related AWS services. You don’t need to be a deep technical expert; this exam focuses on understanding AI and ML concepts and how AWS services enable them. You should have around six months of exposure to AI or ML technologies and basic knowledge of core AWS services like Amazon S3, Amazon EC2, AWS Lambda, IAM, and Regions or Availability Zones. In this guide, you will find: Official exam links Free practice questions for the AWS AI Practitioner exam questions Study strategies and hands-on tips A public study tracker link for structured preparation Before you start preparing, go through…  ( 8 min )

I originally posted this post on my blog. "Is using AI totally forbidden?" "When and how should I use it?" "What's your take on vibecoding?" I was on a firechat with a community of new coders the other day. Those questions kept popping up. They all wanted to know about AI. I get it! There's a lot of noise: AI is taking our jobs. "X% of code is generated by AI at $BigCorp." Some guy shared on Twitter/X that he built an app with no coding skills and now he's retired, drinking martinis in the Caribbean. I made up the last one, but I wouldn't be surprised if there's a post like that. Don't be discouraged by those headlines. (There's a lot of nuance behind them.) We're living in the best time to learn coding. Here's the rule: Don't use AI to generate code until you're comfortable coding on your own. If you only copy and paste what ChatGPT, Cursor, or $NewestFastestLLM gives you, you're in trouble. You need to know if what that tool is spitting out is good code. And for that, you need your own judgment. When in doubt, think of AI as a powerful calculator in math class. It makes you faster, but you still need to know how to solve equations. The thinking part is still yours. AI can spit out code in seconds, even with a bad prompt. But coding is more than syntax. It's also about teamwork, clear communication, and problem solving.  That's why I wrote Street-Smart Coding: 30 Ways to Get Better at Coding, a practical guide to the skills that actually make you a better coder. It's the roadmap I wish I had when I was starting out. Get your copy of Street-Smart Coding here  ( 7 min )

This is a submission for Frontend Challenge - Halloween Edition, CSS Art. So, I started thinking about a shelf full of potions, like a witch's laboratory. With that idea in mind, I began the design, avoiding complex figures. Click here to see Demo reposit This is the first time I've done a project like this. I only use HTML and CSS. I usually only did small things with basic CSS tools, but this was quite a challenge; to give you an idea, I have over 1300 lines of CSS! That's a lot for me. During this process, I learned several things, but here are the most important: ::before ::after Animation Using the same HTML div name in other elements AREAS FOR IMPROVEMENT: First, I could add more elements, as it looks empty, but I wasn't sure which ones. I should have been more creative. Second, without a doubt, I need to create a responsive website. This involves using media, Flexbox, Grid, etc. I got stuck many times trying and became quite frustrated. I hope to return to this project in the future and improve it by adding elements with more complex shapes and more eye-catching animations.  ( 7 min )

Apache Kafka is a powerful distributed streaming platform designed for high-throughput, fault-tolerant, and real-time data pipelines. However, one of the most common challenges faced by Kafka users is consumer lag — a situation where consumers are unable to keep up with the rate of incoming messages. we’ll discuss what Kafka lag is, why it occurs, and the best practices solve it. It is the difference between the latest offset (end offset) of a partition and the current offset that a consumer has read. End Offset → The most recent message written to a Kafka partition. Current Offset → The last message that a consumer has successfully processed and committed. If the consumer lags behind the producer, the difference between these offsets grows — this is consumer lag. High lag means messages a…  ( 7 min )

Data analytics relies heavily on how data is stored, exchanged, and processed. Different data formats are optimized for different use cases — from simple spreadsheets to large-scale distributed processing. In this blog, let’s explore six popular data formats used in cloud-based analytics: CSV, SQL, JSON, Parquet, XML, and Avro. We’ll use a simple dataset throughout all examples 👇 Name Register_No Subject Marks Arjun 101 Math 90 Priya 102 Science 88 Kavin 103 English 92 CSV (Comma Separated Values) Explanation: Example (data.csv): Name,Register_No,Subject,Marks SQL (Relational Table Format) Explanation: Example (data.sql): CREATE TABLE Students ( INSERT INTO Students VALUES ('Arjun', 101, 'Math', 90); JSON (JavaScript Object Notation) Explanation: Example (data.json): [ {"Na…  ( 7 min )

When you're learning to code, one of the first problems you'll encounter is calculating the sum of individual digits within a number. It seems simple on the surface: take 123, add 1 + 2 + 3, and you get 6. But how do you actually make a computer do this? The answer introduces you to some fundamental Python concepts that you'll use throughout your programming journey. I initially thought about using the split() method but later learned that the split() method only removes spaces and commas. Let's say we want to write a function that takes any integer and returns the sum of its digits. For instance: sum_of_digits(123) should return 6 sum_of_digits(9999) should return 36 This might seem tricky at first because numbers are mathematical objects, not sequences we can easily break apart. The key …  ( 8 min )

🐧 It All Started With My First Linux Install I typed a username without thinking much about it. For weeks, I knew I wanted to change it both for comfort and to learn how Linux manages users. You can't rename a logged-in user because system processes are running under that username. Here's what worked: Log out completely by clicking the power icon in the top-right corner, then select log out. At the login screen, switch to TTY (Ctrl+Alt+F3). Login as root (you might need to enable root first): sudo passwd -S root if it shows root L ... then unlock it by setting new password sudo passwd root Verify the old user isn't running any processes: ps -u old_username Rename the user: usermod -l new_username old_username Verify the change: cat /etc/passwd | grep new_username Update the home directory path: usermod -d /home/new_username -m new_username Return to the GUI (Ctrl+Alt+F1/F2). After changing username, I found broken bookmarks in Nautilus file manager. Here's how I fixed them: Find the bookmarks file: find ~/.config -name "*bookmarks*" -type f 2>/dev/null Edit it: nano ~/.config/gtk-3.0/bookmarks Updated all paths from /home/old_username to /home/new_username. Linux user management involves multiple files and processes. The terminal becomes much more enjoyable when you love your username!😄  ( 6 min )

This is gonna be a tough one. I mean, writing without using ChatGPT, Claude, etc, to generate this blog post for me. I'll create an article on how I am using AI in my studies and work I'm currently pursuing a Master's in Artificial Intelligence with a Robotics specialisation, which I genuinely love, but let me tell you: learning in the age of fast-moving AI is both exhilarating and disorienting at the same time. Now? Here's the thing, AI has been practically real for about the last two years now. And it's getting crazier every single day. Right now, AI isn't some distant future thing anymore, it's embedded in almost every industry. Discoveries drop constantly. Everything is accelerating. It's like trying to read a book while someone keeps flipping the pages faster and faster. For me I am s…  ( 8 min )

🚨 Building OperatorAILIVE: An AI-Powered 911 Triage System with Kiro by Sathvik Vempati In emergency dispatch, every second matters. During peak call volumes, 911 operators can become overwhelmed, leading to delayed responses. OperatorAILIVE was built to help bridge that gap — a conversational AI system designed to handle basic intake, assess urgency, and deliver structured, prioritized information to human dispatchers in real time. This project was developed for the Kiroween Hackathon, where the goal was to demonstrate how Kiro can power intelligent, reliable, and safe AI-driven systems. OperatorAILIVE functions as an AI-assisted triage agent that supports human dispatchers when lines are full or call queues are high. Emergency Intake: Allows callers to explain their situation in their…  ( 8 min )

A post by eMatrix Infotech  ( 6 min )

This is a submission for the Agentic Postgres Challenge with Tiger Data Okay, let's be real, what I built is a little bit crazy. But when the challenge said "build something that makes us say 'I didn't know you could do that!'", I went all in. Here's the problem that keeps developers up at night: user input is terrifying. You build a nice little form, users type into it, and suddenly you're dealing with SQL injection, credential stuffing, and attacks you didn't even know existed. You try regex rules, you try validation, but it's like playing whack-a-mole with hackers. What about the attacks nobody's seen before? The ones that slip through every known defense? That's where Agent Auth comes in. I built an AI security guardian that watches over your input fields like a hyper-vigilant bouncer.…  ( 9 min )

Forget endless ChatGPT tweak sessions—these four tricks will half your AI workload pronto. The Prompt Reversal technique shows you how to reverse-engineer your best prompts, the 5-Minute Amplifier turns one idea into multiple formats, the Red Team Technique gets AI to critique its own work, and Blueprint Scaffolding forces it to lay out its reasoning before diving in. Each method is demoed with real-world examples you can steal today, and they work no matter your role or industry. Time to slash those hours and boost productivity! Watch on YouTube  ( 6 min )

I created this blog post for the purposes of entering the Google Cloud Run hackathon. When I set out to build ParsePhish for the Google Cloud Run hackathon, I thought I had a solid plan: create a dual-purpose API that could analyze both emails AND URLs for phishing indicators. What I ended up with was a much more focused, production-ready solution - and a valuable lesson about the power of simplicity in AI applications. ParsePhish is a REST API that uses transformer embeddings and GPU-accelerated similarity search to analyze email content for phishing indicators. It runs entirely serverless on Google Cloud Run with NVIDIA L4 GPUs. It was designed to be privacy-respecting and inexpensive to run. My idea was that now you could detect phishing messages without needing to send your messages t…  ( 8 min )

Auth is one of those topics everyone touches but few explore deeply. Most posts repeat the same template: hash passwords, issue a JWT, add middleware, done. That works for demos, not production. MERN stack buddies will learn a lot from this one! This is a blueprint, not a tutorial. It shows you the architecture that Auth0, Clerk, and Supabase use internally for password authentication. You'll see the patterns, understand the threat models, and know how to adapt them to your stack. I tried to provide a "more complete" flow than what I've seen out there on YouTube where they only focus on the token generation but they don't talk about refresh tokens, how to SECURELY store them, how to retrieve them, how to detect replays and how to handle revocation and server-side session versions. The Thre…  ( 13 min )

Auth is one of those topics everyone touches but few explore deeply. Most posts repeat the same template: hash passwords, issue a JWT, add middleware, done. That works for demos, not production This is a blueprint, not a tutorial. It shows you the architecture that Auth0, Clerk, and Supabase use internally for password authentication. You'll see the patterns, understand the threat models, and know how to adapt them to your stack. I tried to provide a "more complete" flow than what I've seen out there on YouTube where they only focus on the token generation but they don't talk about refresh tokens, how to SECURELY store them, how to retrieve them, how to detect replays and how to handle revocation and server-side session versions. The Three Pillars: Identity, Proof, Trust Every auth syste…  ( 13 min )

Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less CinemaSins just dropped a brisk 20-minute roast of Thunderbolts*, ticking off every plot hole, cliché and face-palm moment—yet they can’t help but admit the movie might actually be pretty great. Want more sinful goodness? Swing by their website or Linktree for all the latest, fill out the poll, back the team on Patreon, or join the Discord and Reddit. You can also follow their writers (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel) and catch CinemaSins on Instagram, TikTok and Twitter. Watch on YouTube  ( 6 min )

Predators – Caravan of Garbage Review Predators (2010) ditches the overcooked Alien vs. Predator crossovers and slams the series back into a muddy, jungle-bound brawl with a rag-tag band of misfit fighters. With brutal face-munching set pieces and a few clever twists, it’s a gritty return to form that reminded fans why this franchise rocks. Part of Mr Sunday Movies’ Caravan of Garbage series, the review hails Predators as a fan-favorite—yet can’t help lamenting that we never got a proper follow-up to such a badass revival. Watch on YouTube  ( 6 min )

Ever spent hours searching for a solution you know you've solved before? DevMind is your intelligent knowledge companion that captures, organizes, and retrieves your technical learnings using natural language and AI-powered hybrid search—all powered by Agentic Postgres features on Tiger Cloud. DevMind is an AI-powered developer knowledge management system that solves a problem every developer faces: we keep solving the same problems over and over because our solutions get scattered across Slack threads, browser bookmarks, and forgotten notes. The inspiration? After spending 2 hours debugging a PostgreSQL connection pool issue I'd already solved 3 months ago, I realized we need a "second brain" that actually understands what we're looking for—not just keyword matching. Key capabilities: 🔍 …  ( 12 min )

In this scenario you will: ✅ Create a ConfigMap This is one of the most important Kubernetes features for configuration-driven apps. Create a file: # config-volume-cm.yaml apiVersion: v1 kind: ConfigMap metadata: name: app-config data: welcome.txt: | Welcome version 1 This is the first config. Apply it: kubectl apply -f config-volume-cm.yaml Verify: kubectl get configmap app-config -o yaml Create file: # config-volume-pod.yaml apiVersion: v1 kind: Pod metadata: name: config-volume-demo spec: containers: - name: nginx image: nginx:1.25 volumeMounts: - name: config-volume mountPath: /usr/share/nginx/html/config # Config file available here volumes: - name: config-volume configMap: name: app-config Apply: kubectl apply -f config-volume…  ( 7 min )

For weeks, my AI bot had one annoying habit: it kept talking too much. It didn’t matter if I used a clean prompt, a strict system message, or even a carefully crafted JSON schema — the model still drifted into weird territory. It added extra sentences, invented fields, threw in emojis I never asked for, and sometimes started explaining things nobody needed explained. In this article, I’ll tell you my experience about this AI bot hallucination fix. Press enter or click to view image in full size I thought this was just “normal AI behavior,” kind of like how devices sometimes get warm after updates or how generative models like GPT occasionally drift, which is something even researchers have flagged as a common issue (OpenAI themselves explain hallucination risks quite clearly in their do…  ( 9 min )

Unlocking the Future of AI Monetization: Introducing MonetZly In the rapidly evolving world of AI applications, developers face a daunting challenge: how to monetize their innovations without alienating users. The explosion of AI tools has created a vibrant landscape, but many still lack sustainable monetization models. Enter MonetZly, a groundbreaking platform that is redefining the way developers, advertisers, and users interact in the AI economy. Imagine a marketplace where developers can monetize their applications effortlessly, advertisers can connect with engaged users, and users receive relevant ads that enhance their experience. That's the essence of MonetZly—a three-sided ecosystem that fosters collaboration and mutual benefit. MonetZly is the first platform in the AI space to…  ( 7 min )

In this scenario you will: ✅ Create a ConfigMap This is one of the most important Kubernetes features for configuration-driven apps. Create a file: # config-volume-cm.yaml apiVersion: v1 kind: ConfigMap metadata: name: app-config data: welcome.txt: | Welcome version 1 This is the first config. Apply it: kubectl apply -f config-volume-cm.yaml Verify: kubectl get configmap app-config -o yaml Create file: # config-volume-pod.yaml apiVersion: v1 kind: Pod metadata: name: config-volume-demo spec: containers: - name: nginx image: nginx:1.25 volumeMounts: - name: config-volume mountPath: /usr/share/nginx/html/config # Config file available here volumes: - name: config-volume configMap: name: app-config Apply: kubectl apply -f config-volume…  ( 7 min )

NVIDIA Triton Inference Server is an open-source AI model inference platform that supports multiple deep learning frameworks and is widely used for deploying machine learning models in production environments. Recently, a Critical vulnerability was disclosed on NVIDIA's official website(Security Bulletin: NVIDIA Triton Inference Server - September 2025 | NVIDIA): NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability in the Python backend, where an attacker could cause a remote code execution by manipulating the model name parameter in the model control APIs. A successful exploit of this vulnerability might lead to remote code execution, denial of service, information disclosure, and data tampering. The Triton backend for Python(Python Backend). The goal of Python …  ( 8 min )

Prompt Engineering Isn’t Enough: You Need Prompt Thinking Jaideep Parashar ・ Nov 10 #ai #webdev #discuss #learning  ( 7 min )

What is SQL? SQL stands for Structured Query Language, and it is the backbone of data management. It's a programming language used to store and process information in relational databases. Although SQL is a stand-alone language, it is rarely used to create an application on its own. If you don't know what a relational database is, it's just a collection of information that organizes data into rows and columns. This information is usually stored in the form of a table that looks like the picture below. See how the tables are formed with certain pieces of information? All three tables point to each other in some way! What is SQL mainly used for, and how do we use it? I. CREATE **CREATE TABLE** table_name(column1 datatype, column2 datatype, … columnN datatype); II. SELECT It would look something like this. **SELECT** data, FROM table_name; III. INSERT **INSERT INTO** table_name (table_name column contents) **VALUES** (the data you want to pass in) IV. DELETE DELETE statement whenever you want to remove data from a table. Just like INSERT, make sure you specify the data you want to remove from a specific table. **DELETE FROM** table_name **WHERE** [condition] Let's put that all together! First, let's create our table. **CREATE TABLE** Employee (EMP_ID int, NAME varchar (255), SALARY int, AGE int); Next, let's add some data into our new table. **INSERT INTO** Employee (EMP_ID, NAME, SALARY, AGE) **VALUES** ('1', 'Azaria', 100000, 22); We should have something that looks like the table below. If you want to SELECT or DELETE any data, you can just use those statements. Pretty simple and straight to the point, right? There are plenty of other statements you can use in SQL, but those are just the basics. PostgreSQL Conclusion Extra Resources https://www.w3schools.com/sql/sql_intro.asp https://www.w3schools.com/postgresql/postgresql_intro.php https://en.wikipedia.org/wiki/SQL  ( 7 min )

How AI Teams Work Together to Give Faster, Smarter Answers Ever wondered why some chatbots seem to know the answer instantly while others stumble? Scientists discovered that letting several AI models “talk” to each other can make the final reply both quicker and more accurate. This breakthrough means future assistants could answer complex questions with human‑like speed, all while using less computing power. It’s a glimpse of a future where AI works smarter, not harder, making our digital helpers more reliable every day. Read article comprehensive review in Paperium.net: When to Ensemble: Identifying Token-Level Points for Stable and Fast LLMEnsembling 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 23 min )

Everyone is racing to learn “prompt engineering.” Courses. Cheat sheets. Templates. Hacks. But here’s the uncomfortable truth most people won’t say out loud: Prompt engineering will not make you stand out anymore, but prompt thinking will. Prompt engineering teaches you how to talk to AI. One is a skill. And only one of them will matter in the AI-native workforce. The Problem With How People Learn Prompting Today People treat prompting like: memorising shortcuts collecting prompt templates copying pre-written scripts This worked in 2023. Why? Because everyone now has access to the same templates. If a skill can be copy-pasted, it cannot create differentiation. Prompt engineering is becoming a baseline literacy, not an advantage. To rise above the noise, you need to shift from using prompts…  ( 9 min )

Managing metadata within your Excel files is more than just good practice; it's a critical component of data governance, security, and automation in today's digital landscape. Have you ever found yourself manually updating author names, company details, or project identifiers across numerous spreadsheets? Or perhaps you've needed to ensure sensitive information embedded in Excel Properties .NET is removed before sharing a document? Manually handling these tasks is not only tedious but also prone to errors. This article delves into how you can programmatically read and remove Document Properties C# from Excel files using the powerful Spire.XLS for .NET library. We'll explore how to leverage C# to automate these essential tasks, providing you with a robust solution for managing your C# Excel…  ( 9 min )

1. Problem Description When using the KT148A serial version voice chip for music playback, the microcontroller (MCU) malfunctions immediately. Measurements reveal significant power supply fluctuations during music playback initiation. According to the manual, this is likely caused by insufficient drive capability. However, the same power supply works normally when connected to the official test board. The root cause is clearly power supply instability - a common issue resolvable through basic circuit design principles. Power Supply Configurations: The KT148A chip has two power supply configurations (refer to power supply notes in the upper-right corner of the figure). Current Consumption Factors: Speaker impedance and power rating (larger speakers → higher current draw) Playback volume (higher volume → greater power consumption) Maximum drive capability: Approximately 200 mA Reference: Official test board minimum system schematic Use thicker power traces to reduce voltage drop Keep KT148A power traces as short as possible to minimize resistance and interference Add a decoupling capacitor at KT148A power input: Recommended: Electrolytic capacitor (e.g., 47μF/16V) or similar Ensure stable and robust power source Avoid using: Long/thin Dupont jumper wires Weak power supplies Such setups cause severe voltage fluctuations leading to chip resets or MCU abnormalities Note: These are fundamental power design principles. Review basic circuit design if necessary. If experiencing voice data download issues, use the official full-featured download board for testing (refer to diagram below).  ( 6 min )

Hi everyone, I’m currently working on a small web project and I’m splitting my workflow between the backend and frontend since I’ll need a “heavy” processing component for automated spatial operations. This part mainly involves running scripts that perform spatial tasks such as calculating point distances, handling geometry intersections, and updating labels based on spatial results. Apart from that, the project also includes the usual web elements — a standard database, content pages, multimedia, etc. So far, I’ve been considering Strapi for the backend and Vercel for the frontend, but I suspect I’ll need an additional service to handle the spatial processing layer. Has anyone here worked on something similar (ideally keeping costs low)? Thanks in advance for any advice or experiences you can share! 😊  ( 6 min )

In SafeLine version 6.6.0 and above, you can easily host websites using static files. This guide will walk you through the steps to set up a site using static resources and provide solutions for common issues you might encounter. When adding a new site in SafeLine, choose the Static Files option for site creation. After setting up the site, try visiting the site’s URL. If you see the default page, it means the static hosting setup was successful. Once the default page is visible, you can go to the Site Details section and upload your custom static files. If your static files exceed the upload limit, you can manually upload them to the appropriate directory on the WAF server. Directory path: installation_directory/resources/nginx/static/static_${SITE_ID} You can find the SITE_ID by checking the site details URL. For example, if the URL is https://xxxx:9443/sites/detail?id=12, then the site ID is 12. By following these steps, you’ll be able to quickly host static websites using SafeLine and manage your site with ease! GitHub: https://ly.safepoint.cloud/rZGPJRF https://ly.safepoint.cloud/eGtfrcF https://ly.safepoint.cloud/DQywpL7  ( 6 min )

Most face-recognition systems fail in real life. The solution is not “more detection.” 🚀 Why SORT Changes Everything SORT (Simple Online & Real-Time Tracking) gives you: Persistent IDs across frames No flickering names when a person turns their head High FPS (because you don’t detect every frame) Stable embeddings (recognize once → reuse for multiple frames) Think of SORT as the glue that holds your face-recognition pipeline together. 🔥 The Recognition Pipeline (Super Simple) if frame_id % 3 == 0: faces = face_app.get(frame) 2️⃣ Use SORT to track faces between detections tracked = tracker.update(detections) 3️⃣ Assign embeddings via IoU matching for det_bbox, det_emb in last_face_map.items(): if compute_iou(track_bbox, det_bbox) > 0.45: track_embeddings[track_id] = det_e…  ( 7 min )

Here’s a strong recommendation for an open-source WAF (Web Application Firewall) that’s been developed for nearly 10 years. It comes in both community and professional editions, and the community edition (free) is more than capable of handling most use cases. Let’s start with the basics for those who might not be familiar: A WAF (Web Application Firewall) is a security solution deployed in front of websites at the application layer, offering protection through the following features: Web Vulnerability Protection: Detects and blocks common web attacks like SQL injection, XSS (cross-site scripting), and more via predefined rules. Anti-CC Attack: Provides protection against large-scale attacks like DDoS by filtering malicious traffic. Access Control: Allows filtering based on IP add…  ( 7 min )

SafeLine is a Web Application Firewall (WAF) developed by Chaitin Technology. It leverages advanced technologies like big data and machine learning to create a network attack detection system. SafeLine continuously monitors and analyzes global threat intelligence, attack data, and vulnerability information in real time. This enables it to quickly identify and detect unknown security threats, accurately determine the type and source of attacks, and promptly issue alerts. Additionally, SafeLine features a proprietary intelligent defense engine and a user-friendly visual management interface, providing efficient attack prevention and comprehensive security monitoring. This makes it an essential tool for delivering secure and reliable cloud security services to users. You can choose the instal…  ( 7 min )

A post by Jesus Juarez  ( 5 min )

Introduction: The Inciting Incident A few days ago, my trusty Raspberry Pi 4—the backbone of my home network—died. A power outage corrupted its SD card, and my entire stack of services went dark. What began as a simple restore became an opportunity. Instead of just rebuilding, I decided to re-architect everything to be more resilient, more powerful, and frankly, more fun. This document is the master build log for that project. It contains every file, every configuration, every command, and every critical fix required to build this stack from a fresh OS install. This is the blueprint for a resilient, self-aware, and fully automated home server. Rock-Solid Foundation: Static IPs and resilient storage that survives a boot failure. Containerized Services: A full Docker stack for Plex, Pi-h…  ( 15 min )

HPSR Proxy Stack es una solución open-source que convierte cualquier VPS en un servidor proxy HTTPS profesional con certificados SSL válidos de Let's Encrypt, autenticación HTTP Basic y cifrado TLS 1.2+. Todo automatizado con Docker y listo en menos de 10 minutos. Es un stack completo basado en Docker que combina las mejores herramientas open-source: Squid Proxy: El servidor proxy HTTP/HTTPS más robusto y confiable Stunnel: Túnel SSL/TLS para cifrado end-to-end con certificados válidos Let's Encrypt: Certificados SSL gratuitos reconocidos por todos los navegadores Dante SOCKS5: Servidor SOCKS5 opcional para casos de uso avanzados Docker Compose: Orquestación simple de todos los servicios Todo preconfigurado con scripts de instalación automatizados y listo para producción. Los proxies comer…  ( 11 min )

Turning Text into Pictures: How AI Gets Faster and Smarter Ever wondered how a computer could read a whole book in the time it takes to glance at a photo? Researchers have discovered a clever trick: they turn long passages of text into images and let a vision‑language model do the heavy lifting. The breakthrough means the AI can answer questions, analyze code, or summarize documents up to a million words long without choking on memory or speed limits. This innovation not only speeds up everyday AI tasks but also opens doors for smarter document‑reading apps and faster training of future models. Stay curious—sometimes the simplest picture tells the biggest story. Read article comprehensive review in Paperium.net: Glyph: Scaling Context Windows via Visual-Text Compression 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 23 min )

I caught ChatGPT lying to me today. Not in the abstract. Not about trivia. This was code. Multi-file Python project. Real-world, production-bound work. ChatGPT promised me: "This is the final version. Everything should now work." But when I diffed the file? Lexicons were gone. Helper functions silently removed. Critical logic quietly erased. Comments preserved to fake continuity. No syntax errors. No loud failures. Just landmines—waiting to be stepped on. LLMs hallucinate stability. They give confident, syntax-perfect answers that feel right—but don’t preserve the fragile architecture you’ve spent days building. Here’s what this incident reminded me: LLMs don’t remember previous files. If your pipeline relies on shared imports or implicit contracts, those can (and will) be dropped. LLMs don’t write tests. If you’re not testing, you’re not just flying blind—you’re flying while being lied to. LLMs don’t think like your teammates. They’ll change the internal API of your tool and not even warn you. ChatGPT is an amazing tool. I’ve used it to: Refactor faster Learn new libraries Scaffold entire services Even debug tricky edge cases But that doesn’t mean it’s reliable. Treat it like the world’s most helpful—but untrustworthy—intern. 🔍 Always diff the output. ✅ Don’t merge without tests. 🧠 Don’t believe it when it says “final version.” 🛑 Pause when it doesn’t ask you for clarification. Trust, but grep. ChatGPT is brilliant. But it doesn’t love your code like you do. Guard your repo. I had chatGPT write this article and you can be sure that I read and proofed it. Posted by a dev who almost shipped broken production code because the robot was too confident.  ( 6 min )

1. Uninstallation and Cleanup Uninstall Node.js. And delete all npm and Next-related folders. Confirm by running: node -v next -v npm -v 2. Node.js Installation Install Node.js from the following link: https://nodejs.org/ja/download (Choose the Windows Installer (.msi) link toward the bottom of the page.) Confirm by running: node -v npm -v 3. Next.js Project Setup Navigate to the directory where you want to create your project: cd C:\Users\hiroo Set up the Next.js project. (Change the name): npx create-next-app@latest my-nextjs-app Start the project: npm run dev OK, close the command line once (The rest is omitted. Refer to dev diary 20251108 for details.) 4. Amplify Gen 2 Sandbox Start the sandbox: npx @aws-amplify/backend-cli sandbox Note: **Delete any remaining resources in AWS …  ( 8 min )

Check out this Loader using html/css 🚀  ( 5 min )

Intro There are lots of articles about Clean Architecture: Google guide Google search Google Gemini he, he.. So, I don't wanna copy those guides and my advice is read them carefully. But I have to write about domain layer for excluding confusion of terms. There is something wrong with understanding domain layer in the Android development context. Here's the quote from the Google guide: Note: The term "domain layer" is used in other software architectures, such as "clean" architecture, and has a different meaning there. Don't confuse the definition of "domain layer" defined in the Android official architecture guidance with other definitions you may have read elsewhere. There may be subtle but important differences. The common pattern of software architecture says that the domain layer is…  ( 8 min )

Building Type-Safe CLIs in Python with Maybe Monads I got tired of writing the same input validation code for every CLI tool. You know the pattern: parse a string, check if it's valid, print an error message, ask again. For every single argument. Here's what I used to write: while True: port_str = input("Enter port: ") try: port = int(port_str) if 1 <= port <= 65535: break else: print("Port must be between 1 and 65535") except ValueError: print("Port must be a valid integer") This works, but it's not composable. You can't reuse the validation logic. You can't combine validators. And error handling is scattered across try/except blocks. I built valid8r to solve this using Maybe monads. Instead of raising exceptions, pars…  ( 8 min )

S4 2.0 Is Incredible! Andrew Huang dives into the new Torso S4 2.0, showcasing its modular devices, FX, tempo controls, and performance tricks. He breaks down the Mix, Track, Mod, and Scenes pages, demos the built-in mic, MIDI jamming, live looper and processor, and instant resampling—plus shares his final thoughts on why it’s a game-changer. He also plugs Torso Electronics, highlights his Discord community for music stems, and peppers the vid with links to his socials, gear recs, and Patreon for behind-the-scenes bonuses. Watch on YouTube  ( 6 min )

We’ve reached the final part of this tutorial series! If you’re following along from Part 4, you can continue as is. But if you want to reset your repo or make sure you're on the correct branch: # Repo git clone git@github.com:BRIKEV/twd-docs-tutorial.git git reset --hard git clean -d -f git checkout 05-coverage npm run serve:dev We’ll use the vite-plugin-istanbul plugin to instrument our code and generate coverage data. npm i --save-dev vite-plugin-istanbul Then, open your vite.config.ts and add the plugin: /// import path from "path" import tailwindcss from "@tailwindcss/vite" import { defineConfig } from 'vite' import react from '@vitejs/plugin-react' // add plugin for code coverage import istanbul from 'vite-plugin-istanbul'; // https://vite.dev/config/ …  ( 9 min )

In Part 3, we explored one of TWD’s core features — network mocking — and completed our first full set of tests. running those tests in the terminal so we can integrate them into a CI workflow. To do this, we’ll use Puppeteer and one of TWD’s utilities, reportResults, to display test results directly in the console. If you’re following along from Part 3, you can continue as is. But if you want to reset your repo or make sure you're on the correct branch: # Repo git clone git@github.com:BRIKEV/twd-docs-tutorial.git git reset --hard git clean -d -f git checkout 04-ci-integration npm run serve:dev TWD exposes its runner on the window object, which means you can programmatically execute your tests from any environment — including tools like Puppeteer. Here’s the basic version of that script: …  ( 8 min )

In Part 2, we explored assertions, selectors, and user interactions in TWD. Now, it’s time to move to the /todos page — which brings more realistic functionality: Display Todos Create Todos Remove Todos This page uses an API created with json-server. That’s where mocking comes in. In TWD, we recommend mocking your network requests so you can test your frontend without backend dependencies. This approach brings several advantages: You can simulate any scenario: success, errors, or missing data. You can validate the UX for those edge cases. You can reproduce bugs easily by mocking the exact request that caused them. To achieve this, TWD provides utilities for mocking requests using Service Workers that intercept network traffic. Let’s dive in. If you’re following along from Part 2, you can c…  ( 11 min )

Blockchains won't replace the traditional rails but will be integrated and work in tandem, the bank said in the report.  ( 30 min )

The Internal Revenue Service issued new guidance that Treasury Secretary Scott Bessent said offers a "clear path" to stake digital assets for trusts.  ( 31 min )

The bill brings Congress a step closer to firmly defining how the CFTC and SEC can oversee crypto.  ( 34 min )

Ending the government shutdown may trigger a $150-$200 billion liquidity injection, but a continuation could derail long-term crypto regulation, Arca's research head said.  ( 31 min )

The proposal, called “UNIfication,” would activate protocol fees, burn millions of UNI tokens and consolidate the project’s key teams under a single strategy.  ( 32 min )

Strong volume surge confirms the breakout above $16, though profit-taking near session highs introduces near-term uncertainty.  ( 30 min )

The deal will add stablecoin-based payment tools for merchants and gig workers as crypto payments are rapidly growing.  ( 30 min )

XLM surged past the $0.3020 resistance on strong institutional volume, outperforming the crypto market as analysts eye a possible seven-year triangle breakout targeting $1.52.  ( 31 min )

The token’s 4.62% rally and strong volume confirmed growing institutional interest, though a sharp end-of-session reversal highlighted emerging resistance and short-term volatility.  ( 30 min )

Internet Computer (ICP) slides 11.2% to $6.69 after breaching key support at $7.00, with volume surging 94% above average amid heightened volatility.  ( 30 min )

A public sale of the MON token will begin on Coinbase’s Token Sales platform on Nov. 17 for 7.5% of the initial supply.  ( 31 min )

WIF broke above key resistance levels in volatile trading before institutional selling capped gains at session highs.  ( 32 min )

BONK climbed to $0.00001332 after breaking above key resistance, with volume up 82% above daily averages, signaling continued short-term strength.  ( 30 min )

Bulls are watching for a sustained move above $2.144 to potentially retest $2.154 highs, while bears are eyeing a break below $2.133  ( 31 min )

A Bybit spokesperson said the talks, reported by South Korea’s Maeil Business Newspaper, are “not within our knowledge.”  ( 30 min )

The crypto treasury firm now owns 2.9% of the ETH supply and holds nearly $398 million in cash for more purchases.  ( 30 min )

The trading platform’s adjusted Ebitda beat expectations as higher crypto trading and net interest income offset weaker equities and commodities results.  ( 30 min )

IREN has joined the ranks of large-scale "neocloud" providers, said analyst Brett Knoblach, adding credibility to the company’s ambitions to scale to $18.6 billion in annual revenue across its Texas and Canadian sites.  ( 31 min )

Charts point to underlying bullish framework in the benchmark bond yield.  ( 32 min )

The first token offered will be next week and from Blockchain startup Monad.  ( 30 min )

Hedera (HBAR) was also among the top performers, gaining 9.9% over the weekend.  ( 27 min )

The U.K.'s central bank said on Monday it is proposing "temporary" limits of 20,000 pounds ($26,300) per coin for individuals and 10 million pounds for businesses.  ( 32 min )

The market's gains were fueled by President Donald Trump's announcement of a potential tariff dividend as well as movement towards reopening of the government.  ( 31 min )

Michael Saylor and team purchased 487 bitcoin over the past few days, bringing company holdings to 641,692 coins.  ( 30 min )

The bonds mark Hong Kong's third digital bond sale since 2023 and are part of its push to become a leading global hub for tokenized assets.  ( 31 min )

Rumble unveiled three major deals with Tether and Northern Data, expanding its AI infrastructure, ad business and cloud capacity.  ( 31 min )

Your day-ahead look for Nov. 10, 2025  ( 36 min )

A move from cash or crypto to going fully private takes minutes on average in a less than five-step process, as CoinDesk Research said in its recent Zcash report.  ( 31 min )

Bitcoin steadied above $100,000 after two weeks of losses, while altcoins rallied on expectations that President Trump’s proposed $2,000 tariff dividend could inject retail liquidity into the market.  ( 33 min )

Bitcoin leads gains above $106,000, yet a CME gap hints at potential short-term volatility.  ( 31 min )

Jim Chanos closed his 11-month short on Strategy as multiple to net asset value compressed sharply.  ( 31 min )

Indirect measures like tax cuts may not have as much bullish impact as direct checks.  ( 31 min )

The broker reiterated its buy rating on the stock while raising its price target to $70 from $42.  ( 29 min )

The token has support at $2.60 and resistance at the $2.93 level.  ( 30 min )

Your look at what's coming in the week starting Nov. 10.  ( 33 min )

The idea of direct household payments, even hypothetical, revived the same risk-on reflex that drove digital assets during the pandemic-era stimulus rounds.  ( 31 min )

Zenrock's wrapped Zcash token, zenZEC, has achieved $15 million in trading volume on the Solana blockchain since its launch on Oct. 31.  ( 31 min )

Ledger secures about $100 billion worth of bitcoin for its customers.  ( 29 min )

Bitcoin ETF outflows show institutions are trimming risk, not abandoning crypto, as trading stays off-chain and liquidity begins to improve.  ( 30 min )

Former President Trump's comments on tariffs spurred interest in speculative assets, boosting meme coin sentiment.  ( 32 min )

Canary Capital, Bitwise, Franklin Templeton, and 21Shares filed amended S-1 registration statements for spot XRP exchange-traded funds, introducing standardized listing language designed to streamline SEC review under existing 8(a) procedures.  ( 32 min )

Prediction markets flipped overnight after Senate negotiators reached a bipartisan funding deal, sending crypto and risk assets higher on expectations that Washington will reopen before Veterans Day.  ( 31 min )

Running a large language model (LLM) on your computer is now easier than ever. You no longer need a cloud subscription or a massive server. With just your PC, you can run models like Llama, Mistral, or Phi, privately and offline. This guide will show...  ( 7 min )

Vue.js is a progressive JavaScript framework for building user interfaces and single-page applications. Loved for its simplicity, flexibility, and performance, it allows developers to start small and scale up to complex applications with ease. Whethe...  ( 3 min )

Meta has just released a new multilingual automatic speech recognition (ASR) system supporting 1,600+ languages — dwarfing OpenAI’s open source Whisper model, which supports just 99. Is architecture also allows developers to extend that support to thousands more. Through a feature called zero-shot in-context learning, users can provide a few paired examples of audio and text in a new language at inference time, enabling the model to transcribe additional utterances in that language without any retraining. In practice, this expands potential coverage to more than 5,400 languages — roughly every spoken language with a known script. It’s a shift from static model capabilities to a flexible framework that communities can adapt themselves. So while the 1,600 languages reflect official training…

Chronosphere, a New York-based observability startup valued at $1.6 billion, announced Monday it will launch AI-Guided Troubleshooting capabilities designed to help engineers diagnose and fix production software failures — a problem that has intensified as artificial intelligence tools accelerate code creation while making systems harder to debug. The new features combine AI-driven analysis with what Chronosphere calls a Temporal Knowledge Graph, a continuously updated map of an organization's services, infrastructure dependencies, and system changes over time. The technology aims to address a mounting challenge in enterprise software: developers are writing code faster than ever with AI assistance, but troubleshooting remains largely manual, creating bottlenecks when applications fail. "F…

As cloud project tracking software monday.com’s engineering organization scaled past 500 developers, the team began to feel the strain of its own success. Product lines were multiplying, microservices proliferating, and code was flowing faster than human reviewers could keep up. The company needed a way to review thousands of pull requests each month without drowning developers in tedium — or letting quality slip. That’s when Guy Regev, VP of R&D and head of the Growth and monday Dev teams, started experimenting with a new AI tool from Qodo, an Israeli startup focused on developer agents. What began as a lightweight test soon became a critical part of monday.com’s software delivery infrastructure, as a new case study released by both Qodo and monday.com today reveals. “Qodo doesn’t feel l…

Baseten, the AI infrastructure company recently valued at $2.15 billion, is making its most significant product pivot yet: a full-scale push into model training that could reshape how enterprises wean themselves off dependence on OpenAI and other closed-source AI providers. The San Francisco-based company announced Thursday the general availability of Baseten Training, an infrastructure platform designed to help companies fine-tune open-source AI models without the operational headaches of managing GPU clusters, multi-node orchestration, or cloud capacity planning. The move is a calculated expansion beyond Baseten's core inference business, driven by what CEO Amir Haghighat describes as relentless customer demand and a strategic imperative to capture the full lifecycle of AI deployment. "W…

Presented by Celonis After a year of boardroom declarations about “AI transformation,” this was the week where enterprise leaders came together to talk about what actually works. Speaking from the stage at Celosphere in Munich, Celonis co-founder and co-CEO Alexander Rinke set the tone early in his keynote: “Only 11 % of companies are seeing measurable benefits from AI projects today,” he said. “That’s not an adoption problem. That’s a context problem.” It’s a sentiment familiar to anyone who’s tried to deploy AI inside a large enterprise. You can’t automate what you don’t understand — and most organizations still lack a unified picture of how work in their companies really gets done. Celonis’ answer, showcased across three days at the company’s annual event, was less about new tech acron…

Everything is a conspiracy theory now. MIT Technology Review’s new series, “The New Conspiracy Age,” explores how this moment is changing science and technology. Join features editor Amanda Silverman, executive editor Niall Firth, and Mike Rothschild, journalist and conspiracy theory expert, for a conversation about how we can make sense of them all. Going live…  ( 20 min )

Welcome back to The State of AI, a new collaboration between the Financial Times and MIT Technology Review. Every Monday, writers from both publications debate one aspect of the generative AI revolution and how it is reshaping global power. This week, Casey Crownhart, senior reporter for energy at MIT Technology Review and Pilita Clark, FT’s columnist,…  ( 24 min )

AI and quantum technologies are dramatically reconfiguring how cybersecurity functions, redefining the speed and scale with which digital defenders and their adversaries can operate. The weaponization of AI tools for cyberattacks is already proving a worthy opponent to current defenses. From reconnaissance to ransomware, cybercriminals can automate attacks faster than ever before with AI. This…  ( 23 min )

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. Why it’s so hard to bust the weather control conspiracy theory It was October 2024, and Hurricane Helene had just devastated the US Southeast. Representative Marjorie Taylor Greene of Georgia found an abstract…  ( 21 min )

Six consortiums have reportedly submitted bids to develop Malaysia’s long-awaited multi-lane free flow (MLFF) toll collection system. According to The Edge Malaysia, the request for proposal (RFP) was issued by the Ministry of Works, with submissions closing on 16 October. The following are the alleged entities suggested by the publication’s sources: JustGo Digital Bhd, a […] The post Six Bidders Reportedly In The Running To Develop Malaysia’s MLFF Toll System appeared first on Lowyat.NET.  ( 34 min )

It’s that time of the year again. The 11.11 sale is upon us, and as per usual, we have curated a selection of the product deals. We’ve already covered smartphones here, as well as PCs and laptops. This time, we’re looking at some of the deals for tablets. Of course, this is by no means […] The post Here Are The 11.11 Deals For Tablets appeared first on Lowyat.NET.  ( 35 min )

Toyota Motor Thailand has unveiled the ninth-generation Hilux, now officially named the Hilux Travo. For the first time, the iconic pickup is offered as a Battery Electric Vehicle (BEV). The debut comes after leaks from an earlier presentation at the 2025 Japan Mobility Show. In terms of design, the BEV Hilux features a redesigned front […] The post Toyota Unveils Ninth-Generation Hilux Travo With First-Ever BEV Variant appeared first on Lowyat.NET.  ( 35 min )

ONE-NETBOOK has officially announced the new OneXFly Apex handheld gaming console, the successor to the OneXPlayer F1 Pro. The company claims, through the official Indiegogo page, that the device is the most powerful 8-inch gaming handheld in the world. The company also boasts that it is the world’s first liquid-cooled handheld with a swappable 85Wh […] The post The OneXFly Apex Is A Handheld Console With A 85Wh Replaceable External Battery appeared first on Lowyat.NET.  ( 35 min )

According to the PDRM’s Commercial Crime Investigation Department (CCID), e-commerce crimes are on the rise. In a statement posted to its official Facebook page, CCID revealed that 12,297 cases were recorded from January to October this year, marking a 97% rise compared to last year. Moreover, the surge in cases is linked to losses of […] The post E-Commerce Fraud Surges By 97%; RM110 Million In Losses Recorded appeared first on Lowyat.NET.  ( 34 min )

The annual 11.11 sale is in full swing, and just as we categorise what we found to be some of the better deals for smartphones in this double-digit month, this article will cover ongoing deals currently being offered by the majority of PC and gaming brands. In this list, and much like our smartphones list, […] The post 11.11 Sale: Here Are Some Deals For PC, Laptops And Other Goodies appeared first on Lowyat.NET.  ( 38 min )

The iconic Renault Twingo has taken a new form, a fully electric hatchback known as the Twingo E-Tech. The new-generation hatchback is offered in two variants: Evolution and Techno. Design-wise, the EV still possesses the same silhouette as its predecessors, with a refreshed exterior and interior. The front fascia features a newly designed half-moon-shaped LED […] The post Renault Twingo Returns As All-Electric Twingo E-Tech appeared first on Lowyat.NET.  ( 35 min )

Maybank, via its official website, has announced that it will soon restrict access to its online banking platforms from devices and web browsers running outdated or unsupported software. The move, according to the bank, is part of its continued efforts to ensure a safer and more secure digital banking experience for its customers. The restriction […] The post Maybank To Restrict Access From Outdated Devices And Browsers appeared first on Lowyat.NET.  ( 34 min )

HONOR recently confirmed that it will be bringing the Magic8 Pro to our shores soon. Ahead of the local launch, the brand showcased some of the flagship phone’s features, namely its photography capabilities. To best highlight the device’s imaging system, the company held an event on the 98th Floor of Merdeka 118. The Magic8 Pro […] The post HONOR Showcases Magic8 Pro Camera Ahead Of Malaysia Launch appeared first on Lowyat.NET.  ( 35 min )

Mozilla officially announced that it will be giving its Firefox browser a brand refresh. And to celebrate this change, the company also revealed Kit, the browser’s new mascot. “The Firefox brand is getting a refresh and you get the first look,” the official Mozilla landing page reads. ‘Kit’s our new mascot and your new companion […] The post Mozilla Announces Kit, Firefox’s New Mascot appeared first on Lowyat.NET.  ( 34 min )

Shell Malaysia has officially launched its new first-party application for the EV scene, Shell Recharge. In conjunction with the launch, the fuel company is offering a special one-day promotion on 11 November 2025, nationwide from 12:00 a.m. to 11:59 p.m., where EV drivers who charge at Shell Recharge High-Performance Charging (HPC) sites will enjoy a […] The post Shell Malaysia Launches Shell Recharge App With Special 11.11 EV Charging Promotion appeared first on Lowyat.NET.  ( 35 min )

Intel has filed a lawsuit against a former software engineer accused of stealing tens of thousands of confidential files from the company, including data classified as “Top Secret.” The case, first reported by The Mercury News, centres on Jinfeng Luo, who joined the company in 2014 and was terminated from his position in July last […] The post Intel Sues Former Engineer For Allegedly Stealing “Top Secret” Files appeared first on Lowyat.NET.  ( 34 min )

Grab has been initiating a lot of interesting initiatives as of late, some of which are stranger than others (looking at you, ChatGPT collaboration). Now, the Singaporean-based company officially kick off a simpler initiative by comparison: rebranding its GrabRewards programme to GrabCoins. Despite this change, it’s worth noting that the system will largely stay the […] The post Grab Rebrands GrabRewards To GrabCoins appeared first on Lowyat.NET.  ( 34 min )

Apple is said to be working on a major upgrade to its satellite capabilities for iPhone, potentially expanding what users can do without mobile or Wi-Fi coverage. According to Bloomberg’s Mark Gurman, the company is preparing to go beyond emergency calls and text-based messaging by adding several new satellite-powered functions in future updates. In its […] The post Apple Reportedly Planning Major Expansion Of iPhone Satellite Features appeared first on Lowyat.NET.  ( 34 min )

Creative GPU modding is nothing new at this point, and as it has always been the case, some modders tend to take things a step too far. For one gamer and Redditor, they decided to take their ASUS ROG Astral RTX 5080 and transform it into a small yet functioning skateboard. Redditor ashleysaidwhat posted a […] The post Gamer Transforms ASUS ROG Astral RTX 5080 Into A Skateboard appeared first on Lowyat.NET.  ( 33 min )

Samsung recently announced that it will be showing off its new LPDDR6 memory standard during CES 2026. The next generation memory modules will be built on an advanced 12nm process and support super-fast bandwidth speeds of up to 10.7 Gbps. As AI, edge computing, and mobile platforms continue to evolve, the demand for faster, more […] The post Samsung To Showcase LPDDR6 Memory At CES 2026 appeared first on Lowyat.NET.  ( 34 min )

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Cross-Modal Knowledge Distillation for sustainable aquaculture monitoring systems with embodied agent feedback loops Introduction It all started when I spent a week at a remote aquaculture facility in Norway, watching marine biologists struggle with terabytes of underwater footage. They were manually counting fish, assessing health conditions, and monitoring feeding patterns—tasks that seemed perfect for AI automation. While exploring multimodal AI systems, I discovered that the real challenge wasn't just processing visual data, but creating systems that could learn from multiple sensory inputs and adapt to changing aquatic environments. During my investigation of sustainable aquaculture monitoring, I found that traditional single-modal approaches were fundamentally limited. W…  ( 11 min )

November 10, 2025 In the volatile theater of cryptocurrency, few stories encapsulate the peril of narrative over substance quite like that of **AltitudeDeFi ($ALTD)—a project that soared on promise in 2023, only to vanish without explanation, leaving behind little more than a frozen website and scattered investors nursing steep losses. Launched in August 2023 amid a wave of cross-chain optimism, AltitudeDeFi presented itself as a next-generation interoperability protocol, boasting integration with LayerZero, a respected messaging layer used by established projects like Stargate and Radiant. Its pitch was ambitious: bridges to seven major blockchains—Ethereum, Avalanche, BNB Chain, Arbitrum, Optimism, Polygon, and Base—and a vision of seamless, multi-chain liquidity. For a moment, the mark…  ( 7 min )

In the previous article, we added syntax highlighting for our Markdown code blocks. But you might have noticed that the document page title ({{ page_title }}) is still hardcoded in the main.py route function ("page_title": "Hello, Markdown!"). This is very inflexible. Does this mean we have to modify the code every time we add a new document? A documentation site needs to be flexible, allowing for articles to be added or removed at any time. The article's metadata—like its title, author, and date—should be defined within the Markdown file itself, just like the content. In this article, we will introduce Frontmatter (a common specification for defining metadata at the top of a Markdown file) and enable FastAPI to parse it, allowing us to load metadata dynamically. We will use python-frontma…  ( 8 min )

Programming a small state machine light controller  ( 6 min )

Simon Painter’s NDC Copenhagen 2025 talk dives into ML.NET—Microsoft’s easy-to-use SDK for adding machine learning to your .NET apps—and shows how to build a Titanic survival predictor using C#, Visual Studio, and Kaggle’s Titanic dataset. He busts the myth that ML only belongs in Python, demonstrating that you can train high-quality models right in Visual Studio with just a few clicks. And yes, he warns, there are icebergs ahead… Watch on YouTube  ( 6 min )

This is a submission for Frontend Challenge - Halloween Edition, CSS Art, by Stefan Donosa. The inspiration behind this piece was the desire to create a "maximalist" Halloween scene, a single artboard that captures the entire essence of the holiday in one diorama. I wanted to move beyond a simple animation and build a complete, immersive digital painting using only CSS. The central theme is a haunted cabin perched precariously on a hill, set against a supernatural, malevolent sky. The color palette of the sky (blue-violet-orange-red) and the stark, white spectral moon were the starting points for setting a tense and magical atmosphere. I wanted the scene to feel "alive," so I integrated classic horror elements: an ancient graveyard, a vigilant black cat, ethereal ghosts, a sinisterly glowi…  ( 7 min )

This post contains an explaination on how the RAG (Retrieval-Augmented Generation) architecture works and some examples. https://github.com/Franky5831/Local-rag-example Retrieval-Augmented Generation (RAG) is a popular alternative to fine-tuning large language models, it allows for more flexible content generation by leveraging pre-trained models and a retrieval mechanism. A popular example of RAG is Google's new AI Overview tool. When you search for something on Google the overview tool takes the top results from the search and tries to answer to your question using a RAG system. This is a perfect usecase for RAG, the data that is being fetched from search results is constantly changing, it would be impossible to train the model on new data each time someone makes an update, RAG allows more flexibility at the small cost of performance. If you happen to have any questions feel free to open a GitHub issue, I'd be happy to help. This repo takes great inspiration from Private rag example by Timescale.  ( 6 min )

Can AI Make Photo Edits Look Totally Real? Ever wondered why a removed object sometimes leaves a ghostly shadow behind? Scientists have built a new test called PICABench to see how close today’s AI tools are to fixing those invisible details. physical realism PICABench checks, from light tricks to tiny movements. Stay tuned for the next leap in realistic image editing! The future of pictures is brighter – and more believable – than ever. Read article comprehensive review in Paperium.net: PICABench: How Far Are We from Physically Realistic Image Editing? 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 23 min )

Generative AI is accelerating faster than ever, yet many beginners still struggle to understand one of the most important questions: "When should I use RAG, and when should I use Fine-tuning?" This article breaks it down in the simplest, most practical way — with diagrams, real-world examples, and use cases you can immediately apply. 🚀 Introduction Large Language Models (LLMs) like GPT, Llama, and Mistral come with powerful general knowledge. Your company’s data Your style Your rules To achieve this, two major techniques exist: RAG (Retrieval-Augmented Generation) Fine-tuning They solve different problems — and understanding them can save you time, money, and effort. Let's break them down. 🧠 What is Fine-tuning? Fine-tuning simply means: Teaching the model new behavior by giving it examp…  ( 8 min )

Nova Twins storm through a four-song Tiny Desk set with thunderous distorted bass, hip-hop beats and raspy vocals. Kicking off with the in-your-face “Cleopatra” and tackling inner demons on “Monsters,” Georgia South and Amy Love even duck under the desk to tweak their spaceship-sized pedalboards mid-show. “Hummingbird” buzzes to life via a supernatural Harp Blaster mic, and drummer Jake Woodward helps them close out with full-on rock fury on “Choose Your Fighter.” It’s a bold reminder that nice, polite girls can shred—and then some. Watch on YouTube  ( 6 min )

4 ChatGPT Hacks that Cut Your Workload in Half Learn four killer techniques—Prompt Reversal to reverse-engineer perfect prompts, the 5-Minute Amplifier to spin one idea into multiple formats, the Red Team method for AI self-critique, and Blueprint Scaffolding to force ChatGPT to show its reasoning before it writes. Each hack comes with real examples and timestamps so you can plug them into your workflow right away. These tricks have literally sliced my AI time in half—no matter your role or industry. Plus, you’ll get a free ChatGPT ebook, a detailed blog post, and access to waitlists for next-level AI and productivity courses to keep the momentum going. Watch on YouTube  ( 6 min )

Are you eager to dive into the world of Roblox game development in 2025? Lua, the scripting language used in Roblox, is an excellent starting point for aspiring developers. This guide will walk you through the basics of Lua in Roblox, offering tips, resources, and best practices to get you coding in no time! Lua is a lightweight, high-level programming language that is popular for game development due to its simplicity and ease of use. In Roblox, Lua is the primary language for scripting, allowing you to create interactive games. Its low learning curve makes it ideal for beginners. Before you begin coding, here are the steps you need to follow: To start coding with Lua, you'll need Roblox Studio, the platform's official development environment. With an intuitive interface, Roblox Studio pr…  ( 7 min )

Introduction CanopySplit is a multi-layer DeFi protocol that transforms idle capital into climate impact. Users deposit WETH, earn yield through Aave v3, and automatically split 100% of profits among climate recipients—all while keeping their principal withdrawable at any time. This technical deep-dive covers: Octant V2 Yield Donating Strategy architecture ERC-4626 vault integration with Aave v3 Epoch-based donation splitting mechanics Custom Uniswap v4 hook for swap fee donations Production deployment challenges on Sepolia Live on Sepolia: Strategy: 0x0D1d8AE2dD0e4B06ca0Ef2949150eb021cAf6Ce9 Splitter: 0xda5fA1c26Ec29497C2B103B385569286B30EC248 Asset (WETH): 0xC558DBdd856501FCd9aaF1E62eae57A9F0629a3c Architecture Overview ┌─────────────┐ │ User Wallet │ └──────┬────…  ( 11 min )

Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less CinemaSins is back with a rapid‐fire roast of Thunderbolts, pointing out all the “sins” you can cram into 20 minutes—yet still asking, “Is this movie kinda great?” Along the way, they link to their main site, extra YouTube channels (@TVSins, @commercialsins, @cinemasinspodcastnetwork), a quick poll to learn about you, and a Patreon if you want to keep the sin machine running. They also roll credits for their writing team (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) with Twitter/Instagram handles, plus all the community hangouts: Discord, Reddit, Instagram, TikTok, and even Jeremy’s book. Watch on YouTube  ( 6 min )

How I reverse-engineered Wall Street's approach to energy trading and built a production-ready quantitative pricing system Imagine you're an energy trader staring at a complex proposal: a client wants to store 1 million units of natural gas for 6 months. They'll inject in summer when prices are low and withdraw in winter when prices typically spike. The question every trading desk faces: "What's the fair price for this storage contract?" This isn't academic it's the exact challenge I tackled in a JPMorgan Chase quantitative research simulation. The result? A sophisticated valuation engine that bridges the gap between complex energy markets and executable trading decisions. At its core, my system solves the fundamental equation of energy storage: Contract Value = (Withdrawal Revenue - Injec…  ( 10 min )

If you’ve ever studied the TDD Gears model from TDD Buddy , you’ll know it’s one of the clearest ways to explain how our thinking evolves when practicing Test-Driven Development. Each gear represents a different scale of thought and a level of strictness in applying practices, while the underlying principles remain constant. In recent months, I’ve found myself drawing a strong parallel between the TDD Gears model and how we use AI assistants such as ChatGPT, GitHub Copilot, or Claude. The way we “shift gears” when coding, designing, or debugging feels remarkably similar to how we move through the gears of TDD. In both, the key is to maintain discipline, reflection, and professionalism regardless of speed. This article maps the TDD Gears to AI Assistant Gears showing how we can approach AI …  ( 10 min )

Why I Wrote This Last week, I was debugging a complex algorithm at 2 AM when something clicked. I wasn't just organizing data I was organizing life itself. The way I structured my code mirrored how I structure my days, my priorities, my relationships. Lists that grew and shrank. Tuples that never changed. Sets that filtered out the noise. It hit me: We're all writing code, whether we realize it or not. As developers, we spend years mastering syntax and algorithms. But what if these structures we use daily are actually teaching us something deeper about being human? I wrote this because I believe the most powerful code we'll ever write isn't in our IDE it's in how we architect our lives. As a developer, I spend hours thinking about data structures. But recently, I discovered something pro…  ( 8 min )

If you are diving into the world of Roblox game development in 2025, learning easy Lua scripts can significantly boost your productivity and creativity. Lua, a lightweight, high-level programming language, is primarily used for scripting in Roblox, providing game developers with robust tools to create interactive and engaging experiences. Lua's simplicity and flexibility make it an ideal language for beginners and seasoned developers alike. Whether you want to create unique game mechanics, control the game flow, or interact with players, Lua facilitates these tasks seamlessly. In 2025, with updates and improvements, Lua continues to thrive as a core component of Roblox game development explore the future of lua coding. Getting started with Lua scripts in Roblox doesn't require a steep lear…  ( 7 min )

Understanding how vehicle characteristics affect fuel efficiency is a classic regression problem — and an excellent way to explore tree-based models like Decision Trees, Random Forests, and XGBoost. In this project, I analyzed a dataset of cars and built models to predict fuel efficiency (MPG) with different configurations. The dataset contained various vehicle features, including: vehicle_weight engine_displacement horsepower acceleration model_year origin fuel_type To ensure data consistency, all missing values were filled with zeros. train/validation/test split (60%/20%/20%), using a random_state=1 for reproducibility. Next, I used DictVectorizer(sparse=True) to convert categorical and numerical features into a format suitable for scikit-learn models. I began with a Decision Tree Regres…  ( 7 min )

What Is an Array? In short, an array is a sequence of values stored contiguously (back-to-back) in memory. When an array is created, the computer allocates a continuous block of memory large enough for all its elements. For example, an array of three integers will occupy 12 bytes in total (since an integer is typically 4 bytes), with the four bytes for each integer stored immediately next to the next. Why Arrays Are Zero-Indexed When an array is created, the computer: Allocates a contiguous block of memory large enough for all elements. So when you write: let numbers = [10, 20, 30]; The computer knows: The base address (say, 0x1000) points to the first element (10). Each integer takes 4 bytes. Therefore: numbers[0] → address 0x1000 numbers[1] → address 0x1004 numbers[2] → address 0x1008 …  ( 10 min )

CSS is one of those things that looks simple, until you actually try to reason about it. Most people consider CSS an easy language to learn, yet somehow, LLMs that can solve calculus problems still get defeated by a few lines of CSS. In this article, I'll share my thoughts on why Generative AIs struggle to create good layouts, and how TailwindCSS helps them overcome this challenge. Let's imagine we're using CSS the way the web originally intended, with a separate CSS file, defined selectors, and a linked stylesheet. In this setup, let's discuss the CSS nature. In CSS a single rule like position: relative can completely alter the layout and even all other properties behavior. So one line might behave in many different ways, depending on where it used. By design, it's impossible to look at a…  ( 7 min )

What if Your AI App Could Generate Revenue in Two Ways Simultaneously? In the rapidly evolving landscape of AI applications, developers face a common challenge: monetizing their creations without compromising the user experience. With AI apps exploding in popularity, the pressure to generate revenue is palpable. But what if there was a way to create a sustainable model that benefits developers, advertisers, and users alike? Enter Monetzly—an innovative platform that allows you to monetize your AI applications in a dual revenue revolution. Imagine earning revenue not just from your AI app, but also by hosting contextually relevant ads, all while maintaining a seamless user experience. Monetzly is the first platform to offer this dual-earning capability specifically designed for AI-driven …  ( 7 min )

Part 1: the simplest thing that could possibly work Welcome to the first post in a series that dives into the world of distributed systems building on Kubernetes, using as a subject the "Todo application" of systems design: a URL shortener we'll call Flipr 🐬. The goal is to build an actual, functioning, deployable system, designed to scale from a single instance to a distributed cluster on Kubernetes. Photo by Louan García on Unsplash This series focuses on building a distributed, scalable URL shortener and the architectural decisions behind it. To keep that focus sharp, I'm intentionally omitting several things that would be critical in a production system, such as: No unit tests: focus is on architectural evolution, not a production-ready codebase Minimal input validation: basic checks…  ( 13 min )

كيفاش وزارة الدفاع الأمريكية كانت سبّاقة فالتكنولوجيا اللي كنعرفوها اليوم 👀 المقدّمة: اليد الخفية اللي بنت العالم الرقمي ديالنا نهار كتفيق، كتشعل التليفون، كتسول "سيري" على الجو، ولا كتشوف فين وصل الطاكسي ديالك فـ الخريطة... كل هادشي كيدور على تكنولوجيا معمّرة سنين ضوئية فالذكاء والتعقيد. تزادت فالمختبرات ديال وزارة الدفاع الأمريكية (DoD)، سنين قبل ما يسمع بها الناس العاديين؟ كطالب فالهندسة المعلوماتية، بديت نكتاشف أن الجيش الأمريكي ماشي غير مستعمل للتكنولوجيا، هو كان السبّاق والمكتشف الأول. بزاف من الحوايج اللي كنعتابروها "جديدة" اليوم، أصلها كان عسكري وبعيد فالزمن. ⚙️ البداية: كيفاش الحاجة كتولّد الابتكار المؤسسات العسكرية ما كتفكّرش بحال الشركات. DARPA (Defense Advanced Research Projects Agency). "نتجنّبو المفاجآت الاستراتيجية… و نصنعو المفاجآت الاستراتيجية." بمعنى آخ…  ( 7 min )

Meet SkillHunt - a Career Platform for Developers Yan Levin ・ Nov 8 #webdev #ai #programming #javascript  ( 5 min )

London’s Nova Twins took NPR’s Tiny Desk by storm, unleashing a face-melting fusion of distorted bass, hip-hop-infused beats and raspy vocals. Amy Love and Georgia South didn’t waste time easing in—“Cleopatra” kicks off the set with a bold middle finger to doubters, before “Monsters” sees them battling their inner demons live. Between sub-orbital pedalboard tweaks and a supernatural “Hummingbird” powered by a Harp Blaster mic, the duo proved they’re pedal nerds in the best way possible. They closed out with the heavy-hitting “Choose Your Fighter,” shattering any expectations of what a “nice, polite” performance should sound like. Watch on YouTube  ( 6 min )

Alpha 3 introduces the feature that defines Theater Alpha’s identity: the Rewind System. It’s not a panic button. It’s a resource. You get two shots per mission to take back the last 15 seconds and choose a different line. Use them well and you’ll create momentum. Waste them and you’ll feel the weight of every decision that follows. I tested slow‑motion early on. It worked, but it turned into a tax. If a game gives you a “think longer” button, you’re punished for not pressing it. It becomes mandatory. The Carrot not Stick design approach in Game Design Rewind flips that. You’re not avoiding mistakes—you’re learning from them. Try the flank. If it fails, roll it back and try a smarter angle. The story still includes the miss, and the adjustment is the point. It feels earned instead of autom…  ( 7 min )

Imagine you’re on a slow mobile network, scrolling through the news on your phone. The page loads instantly — text, images, layout all appear right away. Visually, it seems ready. You tap “Read more.” Nothing happens. A second tap. Still nothing. Then suddenly the page springs to life and behaves normally. What you just experienced is the hidden cost of hydration — the process modern frameworks use to “wake up” server-rendered HTML in the browser. It’s clever, it has served us well, but it’s far from lightweight. This article explores why hydration is computationally expensive and how partial hydration offers a more efficient path forward. Server-side rendering (SSR) allows users to see the interface immediately by delivering HTML first. However, HTML on its own is static — it cannot handl…  ( 9 min )

1️⃣ Reflection Loop Pattern - The Secret Behind Self-Improving AI 🧠 Concept It uses feedback from its own reflection before finalizing results, turning a “chatbot” into a self-critic — better logic, fewer errors. 🧩 Developer’s Analogy ⚙ How It Works 💼 Why It Matters Produces higher-quality, more consistent answers Reduces hallucinations and reasoning errors Enables autonomous improvement without retraining 💡 When: Code generation requiring security audits or compliance checks Content creation needing factual verification before publication Financial analysis where incorrect conclusions risk capital ⛔Limitations: Each reflection cycle increases token consumption and latency Without well-defined exit conditions, agents can loop unnecessarily Critique criteria must be specific and measurable; vague instructions like “check if this is good” produce inconsistent results 💡 Developer Template 💻 Example (Software Engineering) By adding a Reflection Loop, the AI no longer acts like a one-shot responder; it behaves like a self-reviewing thinker. Each loop helps the AI: Detect gaps in reasoning Spot inconsistencies Refine before finalizing This is how agentic systems evolve — gaining depth, reliability, and continuous improvement.  ( 7 min )

toString() Method It's a method you can use for numbers, booleans, arrays, and objects. const num = 10; console.log(num.toString()); // "10" const arr = [1, 2, 3]; console.log(arr.toString()); // "1,2,3" const person = { name: "John", age: 30, isStudent: true }; console.log(person.toString()); // "[object Object]" The Number() constructor is used to create a number object. The number object contains a few helpful properties and methods like the isNaN and the toFixed method. const myNum = new Number("34"); console.log(typeof myNum); // "object" In this example we pass in a string literal to the Number() constructor and the return type is of type object instead of a string. When the Number() constructor is called as a function without the new keyword, then the return value will…  ( 9 min )

How I reverse-engineered Wall Street quantitative research and what it taught me about production ML systems The Quant's Crystal Ball What if you could predict natural gas prices months in advance? What if you could build the same type of forecasting systems used by Wall Street energy traders? That's exactly what I did in a JPMorgan Chase quantitative research simulation, and I'm opening up the complete engine for everyone to see. This isn't just another ML tutorial this is a production-ready forecasting system that demonstrates how quantitative research meets MLOps in real-world financial applications. Energy companies and traders face a critical challenge: how to price long-term natural gas storage contracts when prices fluctuate daily. The solution requires: Accurate price …  ( 8 min )

By now, my Cloud Resume journey had already given me: ✅ A strong AWS foundation (Chunk 0) ✅ A static front-end (Chunk 1) ✅ A serverless API visitor counter (Chunk 2) ✅ Automated deployments + smoke testing (Chunk 3) But there was still one major gap: my infrastructure wasn’t yet described in code, and my software supply chain needed extra hardening. This chunk was all about professional-grade DevOps practices: Use Terraform to manage AWS resources as code. Secure the supply chain for my build + deployment pipeline. Document the system with architecture diagrams. Share the final product + GitHub repo for transparency. ClickOps (manually clicking through the AWS console) works when learning, but in production it’s a recipe for drift and risk. I converted every major AWS component into modula…  ( 9 min )

Everything Wrong With Sinners In 15 Minutes Or Less CinemaSins dives into what they hail as one of the year’s best genre flicks, playfully nitpicking every detail in under 15 minutes—because even masterpieces deserve a little roasting. Perfect for a Halloween watch, it’s equal parts love letter and cheeky critique. Along the way, they plug their website and YouTube offshoots (@TVSins, @commercialsins, @cinemasinspodcastnetwork), drop links to Discord, Reddit, Instagram, TikTok, and a fan poll, and invite you to support the team on Patreon. Plus, meet the writers behind the sins—Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel—each with their own socials for your following pleasure. Watch on YouTube  ( 6 min )

https://github.com/socaltiger/BatchSubmit.com A long-established software company has developed a suite of legacy professional applications in Fortran, COBOL, R, and Python. These tools, while powerful, were designed for programmers and not easily accessible to non-technical users. By adopting BatchSubmit, the company transformed its command-line programs into Web applications. This platform bridges complex backend code and end users, allowing anyone to run sophisticated computations simply by filling out a web form—without programmer assistance. The result is improved efficiency, reduced human error, and a modernized workflow.  ( 6 min )

4 ChatGPT Hacks That Halve Your Workload Tired of endless prompt tweaking? These four tricks—Prompt Reversal (reverse-engineer your best prompts), the 5-Minute Amplifier (turn one idea into multiple formats), the Red Team Technique (have AI critique its own work) and Blueprint Scaffolding (force it to outline its reasoning before writing)—give you rock-solid responses on the first try. Put them into action with real examples, and watch your AI workflow time drop by 50%. Works for any role or industry, no matter what you’re building. Watch on YouTube  ( 6 min )

Prologue: The Empty Canvas Imagine standing before a pristine canvas—your function signature. You're designing an API that must handle both presence and absence with grace. The parameters you receive might be fully formed objects, partially complete sketches, or complete voids. How do you define what happens when something isn't there? This is the story of two different kinds of nothingness: null and undefined. One is a deliberate statement of absence, the other is the absence of a statement. And in the world of default parameters, this distinction becomes art. Let me take you back to a time before ES6, when we painted our defaults by hand: function createUserProfile(config) { // The old ways - manual defaulting config = config || {}; const name = config.name || 'Anonymous'; …  ( 11 min )

Everything Wrong With Thunderbolts (The New Avengers) In 20 Minutes Or Less tears into every plot hole, continuity oopsie and cheeky moment in the latest Marvel caper—while still wondering if it might be kinda great after all. CinemaSins has all the juicy deets on their website, sinful poll and Patreon, plus links to follow their roasting adventures on YouTube, Twitter and beyond. Big shout-out to the sin team—Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel—and don’t forget to join the fun on Discord, Reddit, Instagram and TikTok for behind-the-scenes banter and nonstop movie snarks. Watch on YouTube  ( 6 min )

Mr Sunday Movies dives into the 2010 sequel Predators, celebrating how it ditches the Alien vs. Predator detours to bring back a ragtag group of lunatics dropped into a deadly jungle for muddy, bone-crunching showdowns. He points out clever twists that elevate it above previous entries, but bemoans that this gritty reboot never got a proper follow-up, leaving fans hungry for more. Watch on YouTube  ( 6 min )

It's been a while since I've done any programming in Java. My day job has been all Javascript, Python, and Go. I found myself with about an hour to kill and decided to dust off the ol' Java skills. Of course, as soon as I decided this, my brain stopped working and my mind went blank. Because I had limited time and really just wanted to get back into the Java syntax, I thought: "just create anything, no matter how simple." What's more simple than a calculator? Cool, don't have to think too much. Just have to get warmed up. After figuring out which JVM I had on my MacBook, I opened up IntelliJ (been a minute for that, too) and quickly produced exactly what you might expect. public class RegularCalculator { public RegularCalculator() { } public double add(double a, double b) { …  ( 8 min )

This is a submission for Frontend Challenge - Halloween Edition, Perfect Landing Nothing reminds me of Halloween more than watching Harry Potter movies. That inspired me to create my own HP-inspired world — a place where magic still exists and continues to evolve in the 21st century. The landing page represents one of many magic schools, that compete for students just like any other university. Are you convinced to join and master your Magic Spark? 🧙💫 Live Demo As mentioned in the project’s README, I usually focus on functional web design where form isn’t the main priority. This time, I wanted to build something completely from scratch — no frameworks — with full attention to detail. While coding, I learned a lot about CSS. I’ve always relied on Bootstrap and some basic styling when the framework couldn’t handle everything, but using vanilla CSS is a whole different experience. Time to keep learning!  ( 6 min )

As a best-selling author, I invite you to explore my books on Amazon. Don't forget to follow me on Medium and show your support. Thank you! Your support means the world! When I first started programming, errors felt like unexpected guests crashing a party. They'd show up unannounced and ruin everything. In many languages, errors are handled through exceptions that can pop up anywhere, making it hard to predict when things might go wrong. Rust changed my perspective entirely. Here, errors aren't surprises; they're just another kind of value that you plan for from the start. This approach makes software more reliable because the compiler helps you handle failures before the code even runs. Rust uses two main types to manage potential problems: Option and Result. Think of Option as a box tha…  ( 12 min )

Why even bother making a podcast app? yourcast! was born out of pure frustration. Like many people my age, my attention span has been whittled down to mere minutes, and my interests have been massively diversified: music production, AI technology, MMA, world news, startups, film & tv. I found myself flipping through 10-15 news sites and YouTube channels every day just to stay informed and keep up with the latest happenings. That wasn't the only issue. I wanted my news fix without being glued to my phone—at the gym, on the bus, lying in bed. A podcast seemed like the obvious solution—except every podcast I tried was either 2 hours of strangers debating stories I don't care about, generic news read by robots, or ragebait algorithms trying to keep me scrolling. I wanted something that felt …  ( 7 min )

From Zero to AI Agent: My 6-Month Journey with LLMs When I started building my first AI agent six months ago, I had no idea what I was getting into. I'd read articles about LangChain, watched tutorials on prompt engineering, and felt confident I could piece something together in a weekend. Reality hit me hard on day three when my "simple" chatbot crashed for the fifth time, and I had no idea why. Let's walk through this journey together—the mistakes I made, the tools that saved me, and what I wish someone had told me on day one. My first week was humbling. I thought building an AI agent meant writing a few prompts and calling it a day. Instead, I discovered that building effective AI agents involves managing inference latency, handling unpredictable outputs, and architecting systems that…  ( 10 min )

You're staring at a slow query. You know it needs optimization. But which approach? Add an index? Rewrite the logic? Use caching? Traditionally, you'd: Make a guess Test it (30 minutes to copy the database) Maybe it works, maybe it doesn't Repeat 5-10 times Hope you found the best solution Total time: 3-5 hours. Best outcome: uncertain. ParallelProof flips this on its head: What if 100 AI agents could test 100 different strategies at the exact same time, each with a full copy of your production database, and tell you which one wins—all in under 3 minutes? That's not science fiction. That's Tiger Data's Agentic Postgres + zero-copy forks + multi-agent orchestration. Traditional Approach: ─────────────────────────────────────────────────── Try Strategy 1 → Wait 30min → Test → Analyze …  ( 10 min )

ArtistAssistApp, also known as Artist Assist App, is a web app for artists to accurately mix any color from a photo, analyze tonal values, turn a photo into an outline, draw with the grid method, paint with a limited palette, simplify a photo, remove the background from an image, compare photos pairwise, and more. Hello, artists! I am pleased to announce the latest update to the ArtistAssistApp, released in November 2025. This time, there are some major new features in addition to the usual stability and performance improvements. Let's take a look at what's new since the last major update in August 2025! Adjusting White Balance Using the Percentile and Reference Methods We've improved how you adjust white balance in your photos! Two easy methods to choose from: Percentile (automatic): Gre…  ( 7 min )

Caching Strategy for restful API and website performance of any web page is a significant factor. It can affect the user’s experience and affect the business if not considered and optimized correctly. Research has shown that website load time and performance can heavily impact different factors such as SEO, engagement, and conversation rates. According to Amazon: “1 second of load lag time would cost Amazon $1.6 billion in sales per year”. Google also noted that “A lad time of 400ms results in a decrease of 0.44% traffic – In real terms this amounts to 440 million abandoned sessions/month and a massive loss in advertising revenue for Google.” Google said that “An extra 0.5 seconds in each search page generation would cause traffic to drop by 20%.” Now, that is massive: Walmart also admitte…  ( 15 min )

So like, imagine you just shipped a feature right? And everyone tells you to tweet about it but then you realize your last 5 tweets got zero engagement except for that one reply from your college roommate asking if youre okay because you tweeted at 3am again. And now youre spiraling about whether anyone actually cares about your side project or if youre just screaming into the void while pretending to build in public. Which is weird because building in public is supposed to help but it just makes you feel more isolated somehow? Anyway, where was I going with this? Oh right, automated social media updates from your GitHub commits. So basically, we all know GitHub is where the magic happens for devs, but then you need to turn those commits into engaging social content... which is like, super…  ( 7 min )

We’ve just created Embedl Hub, a developer platform where you can experiment with on-device AI and analyze how models perform on real hardware. It allows you to optimize, benchmark, and compare models by running them on devices hosted in the cloud, so you don’t need access to physical hardware yourself. You can test performance across phones, dev boards, and SoCs directly from your Python environment or terminal. Everything is free to use. Optimize and deploy your model on any edge device with the Embedl Hub Python library: Quantize your model for lower latency and memory usage. Compile your model for execution on CPU, GPU, NPU or other AI accelerators on your target devices. Benchmark your model's latency and memory usage on real edge devices in the cloud. Embedl Hub logs your metrics, pa…  ( 8 min )

In the rapidly evolving world of game development, staying ahead means understanding the latest updates and tools. As of 2025, Roblox continues to be an innovative platform, allowing creators to bring their ideas to life with Lua scripting. One essential component for efficient scripting in Roblox is the Lua module. But what exactly is a Lua module, and why is it crucial for developers on the platform? Let's delve into the world of Lua modules in Roblox and understand their significance in 2025. A Lua module in Roblox is a reusable piece of code created to perform specific tasks. These modules help developers organize their code, making it easier to manage and debug, especially as projects grow in complexity. Lua modules function similarly to functions but offer a more structured approach,…  ( 7 min )

AI That Reroutes Its Own Thoughts While Writing Ever wondered how a chatbot could get smarter while it’s answering you, without any extra data? Scientists have discovered a clever trick for a type of AI called a Mixture‑of‑Experts model. online adaptation happens in two short bursts: first while the AI is setting up its answer, and then at regular pauses during the conversation. What matters most is that this boost comes without any extra data or heavy computing—just a tiny, plug‑and‑play tweak. Read article comprehensive review in Paperium.net: Rewiring Experts on the Fly:Continuous Rerouting for Better Online Adaptation inMixture-of-Expert models 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 23 min )

So i have been using Ghostty with Zellij on macOS for a while, as my favourite goto terminal and workspace. However, some things have been bothering me for a while that I couldn't sort out until now: The Option key on macOS wasn't being interpreted as Alt correctly in the terminal Jumping forward a word with Option+Right would trigger Zellij's floating pane toggle instead Reordering tabs with Alt+i and Alt+o did not work as expected This happens because macOS terminals convert Option+Right to Alt+f (for "forward word" navigation), which conflicts with Zellij's Alt+f floating pane keybinding. Set the macos-option-as-alt option in your Ghostty config e.g.: # Enable Option key as Alt for keybindings # Use 'left' so right Option key can still type special characters macos-option-as-alt = left This lets us use the left Option key as Alt for Zellij keybindings, while the right Option key can still type special characters (',~, |, etc.). Since Option+Right still is interpreted as Alt+f by the terminal, we need to change Zellij's floating pane keybinding. This can be changed in your Zellij config e.g.: bind "Alt Shift f" { ToggleFloatingPanes; } Hope this helps you out, if you have been struggling with the same issues like i did 👋  ( 6 min )

I’m Asad Hussain, currently doing my Bachelor of Computer Applications at IEM Kolkata. I’ve been into coding for a while now and honestly, it’s the only hobby that stuck 😭😭😭 Thanks for reading :)  ( 6 min )

O Büyülü Kelime “Uzmanlık” Bilişim sektörüne adım atan herkesin kariyerinin bir noktasında duyduğu o sihirli tavsiye: “Bir alanda uzmanlaşmalısın.” CV’nizde “Python Django Geliştiricisi”, “AWS Güvenlik Uzmanı” veya “React Native Mobil Geliştirici” gibi niş bir unvanın olması, size hem daha yüksek bir maaş hem de sektörde saygınlık vaat eder. Peki, bu madalyonun bir de öteki yüzü varsa? Tek bir teknolojiye veya alana adanmış bir kariyer, farkında olmadan bizi bir kariyer tuzağına doğru sürüklüyor olabilir mi? Bu yazıda, bilişim sektöründe uzmanlaşmanın parlak vaatlerini ve göz ardı edilen risklerini masaya yatıracağız. Uzmanlaşmanın Parıltılı Vaatleri: Neden Herkes Uzman Olmak İster? Uzmanlaşmanın neden bu kadar çekici olduğunu anlamak zor değil. Başlıca faydaları şunlardır: Derinlemesine B…  ( 8 min )

Most developers apply to hundreds of jobs… and still don’t land the right one. They scroll through LinkedIn, Indeed, or remote job boards, sending CVs everywhere — hoping something sticks. But if you ask them where they applied last week, what roles they’re targeting, or how many they plan to apply for next week — they have no idea. They’re playing the random application lottery. And honestly? That rarely works. I’ve been there too — spending weeks applying aimlessly, wondering why I wasn’t getting callbacks. Until I built a system. A simple, step-by-step job search framework that finally made the process structured, trackable, and less stressful. Today, I’ll share that exact system with you — the same one I personally use to track opportunities, stay consistent, and apply smarter, not har…  ( 9 min )

This tutorial was written by Luce Carter With the release of MongoDB 7.0 in August 2023, MongoDB introduced a new feature called Queryable Encryption (QE), the first of its kind. With Queryable Encryption, your data is encrypted, even at rest, with the database server unable to read it either but still able to execute queries against it. You can configure what fields to encrypt so you can decide to encrypt as much or as little of your document’s fields as you need. The great news is, not only is this available for all paid tiers and in our C# driver, but it’s now also available in the MongoDB Entity Framework Core (EF) provider. In this tutorial, we are going to take an existing Blazor application that uses EF and the EF Core Provider, and configure it to use QE to securely encrypt certai…  ( 12 min )

Comparación de Características Característica Scanner BufferedReader Facilidad de uso Más simple y directo para leer distintos tipos de datos (nextInt(), nextLine(), etc.) Solo lee texto como String, se necesita Integer.parseInt() para números. Velocidad Más lento Más rápido, especialmente con muchos datos. Parsers incluidos Sí, métodos como nextInt(), nextDouble(), etc. No, debes convertir manualmente (Integer.parseInt()). Lectura de líneas Con nextLine() Con readLine() Uso con consola Ideal para programas interactivos Menos cómodo, requiere más código. Sincronización No sincronizado Sincronizado (thread-safe). Scanner import java.util.Scanner; public class ScannerExample { public static void main(String[] args) { Scanner sc = new Scanner(System.in); System.out.print("Enter your name: "); String name = sc.nextLine(); System.out.print("Enter your age: "); int age = sc.nextInt(); System.out.println("Hello " + name + ", age " + age); } } BufferedReader import java.io.BufferedReader; import java.io.InputStreamReader; import java.io.IOException; public class BufferedReaderExample { public static void main(String[] args) throws IOException { BufferedReader br = new BufferedReader(new InputStreamReader(System.in)); System.out.print("Enter your name: "); String name = br.readLine(); System.out.print("Enter your age: "); int age = Integer.parseInt(br.readLine()); System.out.println("Hello " + name + ", age " + age); } } Usa Scanner si: Estás haciendo prácticas de algoritmos en consola. En programas donde la facilidad de lectura es más importante que la velocidad. Usa BufferedReader si: Necesitas máximo rendimiento (por ejemplo, al leer grandes cantidades de datos). Estás haciendo parsing de archivos grandes o input de alta velocidad en línea.  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less CinemaSins takes a playful, Halloween-flavored jab at Sinners, one of the year’s best genre movies, in a rapid-fire “sins” breakdown. Along the way they plug their main site, YouTube channels (@TVSins, @CommercialSins, @CinemaSinsPodcastNetwork), a fan poll, and Patreon for extra support. Stick around for writer shout-outs (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) and join the community on Discord, Reddit, Instagram, TikTok—or even grab Jeremy’s book. Happy sinning! Watch on YouTube  ( 6 min )

Large Language Models (LLMs) form the foundation of today’s AI. At their core, an LLM like GPT-4 processes tokens (sub-word text units) through a deep neural network. Each token is converted into a high-dimensional embedding (a numeric vector capturing semantic meaning). For example, the sentence “Hello world” might be broken into tokens like "Hello", "Ġworld" and each token is mapped to a vector of hundreds or thousands of dimensions. These embeddings allow the model to understand relationships between words. GPT-4 also has a large context window (e.g. up to 8K or even 32K tokens in extended versions), meaning it can “remember” and attend to that many tokens in a single conversation. In practice, you might use GPT-4 in code like this: from openai import OpenAI client = OpenAI(api_key="YO…  ( 12 min )

Welcome to this week's Symfony Station communiqué. It's your review of the essential news in the Symfony and PHP development communities focusing on protecting democracy. There's good content in all of our categories, so please take your time and enjoy the items most relevant and valuable to you. We publish on Fridays. So you can savor it over your weekend. Or jump straight to your favorite section. Symfony Universe PHP More Programming Defending Democracy Cybersecurity Fediverse My opinions will be in bold. And will often involve cursing. Because humans. Especially tech bros. Fuck 'em! We're back from France scouting locations for The Fulcrum's worldwide HQ. ;) Occitanie won out for the region (department). We’re still working on the town. Nimes, Montpellier, and Toulouse are in the fina…  ( 10 min )

Designing All-Device Compatible Tableau Dashboards: A Complete Guide Dipti M ・ Nov 9 #webdev #programming #beginners #tutorial  ( 6 min )

Welcome to this week's Symfony Station communiqué. It's your review of the essential news in the Symfony and PHP development communities focusing on protecting democracy. There's good content in all of our categories, so please take your time and enjoy the items most relevant and valuable to you. We publish on Fridays. So you can savor it over your weekend. Or jump straight to your favorite section. Symfony Universe PHP More Programming Defending Democracy Cybersecurity Fediverse Once again, thanks go out to Javier Eguiluz and the team at Symfony for sharing our communiqué in their Week of Symfony My opinions will be in bold. And will often involve cursing. Because humans. Especially tech bros. Fuck 'em! We're off to France to scout locations for The Fulcrum's worldwide HQ. ;) So, there w…  ( 10 min )

CinemaSins just unleashed their “Everything Wrong With Thunderbolts (The New Avengers) In 20 Minutes Or Less” romp, gleefully counting every on-screen hiccup—even while admitting they might secretly dig the flick. Expect the usual dose of playful nitpicking, pop-culture references, and tongue-in-cheek commentary. For more sin-filled fun, dive into Cinemasins’ site and YouTube channels, cast your vote in their poll, or support the crew on Patreon. Don’t miss the behind-the-scenes banter from writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel, and join the conversation on Discord, Reddit, Instagram, and TikTok. Watch on YouTube  ( 6 min )

Predators – Caravan of Garbage Review Mr Sunday Movies dives into 2010’s Predators, applauding its return to the franchise’s roots with a rag-tag squad, a muddy jungle battleground and fresh twists that finally elevate it above past sequels—then laments that we never got a proper follow-up to this fan-favorite. Alongside the review, the video plugs the Caravan of Garbage series and points you to bonus podcasts, extended audio cuts, merch, Patreon perks and socials (big Sandwich, Twitter, YouTube) for all things Mr Sunday Movies. Watch on YouTube  ( 6 min )

I didn’t plan to spend my weekend herding two middle schoolers through a game jam, but fate had other ideas. “Just mentor them a bit,” they said. “It’ll be fun!” they said. I’d been asked, last-minute, to mentor two middle schoolers eighth and ninth graders during a weekend “Build-a-thon.” I’m a senior Android engineer and occasional game development mentor, so I expected to spend 48 caffeine-fueled hours teaching arrays, tilesets, and maybe some basic game logic. Instead, I found myself mediating creative explosions, emotional whiplash, and a tug-of-war between two brilliant but combustible imaginations. Their project, which they proudly titled Eco-nomy, was a digital board game about saving or exploiting the planet. One team played as Forest, planting trees and cleaning pollution. The ot…  ( 11 min )

New Trick Lets AI Models Grow Without Extra Tuning Ever wondered why building a bigger AI model feels like starting from scratch each time? Researchers have uncovered a simple rule that keeps the “learning speed” and “regularization” steady, no matter how wide the model gets. weight decay in the popular AdamW optimizer, the team found that the adjustment follows a predictable square‑root pattern as the model widens. This breakthrough removes a major bottleneck, letting AI researchers focus on ideas rather than endless trial‑and‑error. Imagine a world where every new AI breakthrough can be built on the last, with just a tiny tweak. Read article comprehensive review in Paperium.net: Robust Layerwise Scaling Rules by Proper Weight Decay Tuning 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 22 min )

Anthropic’s Claude consistently outshines OpenAI’s ChatGPT and Google’s Gemini for coding work thanks to its stronger context management, holistic understanding of codebases, and more natural collaborative style. Modern devs and AI power users gravitate toward Claude when tackling bigger projects, challenging bug fixes, or anything demanding clear, consistent logic and minimal hand-holding. Claude’s standout strength is code comprehension at scale. Unlike ChatGPT or Gemini—both of which excel at novel code snippets, quick builds, or narrow tasks—Claude reliably digests sprawling, multi-file projects, supporting actual engineering workflows. Claude keeps larger context windows straight so it tracks variables, intent, and requirements across sessions, which means less repetition and clarific…  ( 7 min )

In the world of DevOps, speed and efficiency are paramount. Yet, many teams are still bogged down by fragmented toolchains, manual processes, and the constant context-switching between IDEs, terminals, browsers, and project management tools. While automation is the goal, setting up complex CI/CD pipelines and maintaining brittle test scripts can sometimes feel like more work than the manual tasks they replace. What if you could command your entire workflow—from browser testing and performance analysis to creating documented GitHub issues—using natural language, directly from your terminal? This isn't a far-off fantasy. By combining the conversational power of Google's Gemini CLI with the containerized power of the Docker MCP Toolkit, you can create a seamless, intelligent automation engine…  ( 11 min )

TL;DR: connect Cohere to .NET in 10 minutes. I’ll show two approaches: direct call to the Chat API V1/V2 using the unified Microsoft.Extensions.AI interface (IChatClient) - provider-agnostic code. I’m experimenting with Microsoft.Extensions.AI and want to share the results: I wrote a small Cohere adapter and published it to NuGet. Maybe someone will find it useful, and I’d love to get feedback. With Microsoft.Extensions.AI it became easier to plug LLMs into .NET projects: we now have unified abstractions (IChatClient), DI and minimal vendor lock-in. Cohere is not supported out of the box, so I made a lightweight adapter and published it to NuGet. This article shows how to run a Cohere chat in .NET in ten minutes. Cohere is an LLM provider focused on enterprise needs: data privacy, turnkey …  ( 7 min )

Monads... So this time, I wanted to fix that. In this video and article, I’ll walk you through what Monads actually are — but not by dropping the term on you out of nowhere. We’ll start from the ground up: Functors, then Applicatives, and only then arrive at Monads. Step 1 — Functors: applying a function inside something A Functor is any type that can be “mapped over.” You already know this idea from other languages: The wrapper (Maybe) stays the same — you just apply a function inside it. Step 2 — Applicatives: applying a wrapped function to a wrapped value Applicatives go one step further. 2) Just 10 → gives Just 20. It’s basically saying: “I’ve got a boxed function and a boxed value. Apply one to the other.” And when something’s missing (Nothing), the whole thing fails gracefully. Step 3 — Monads: chaining things that return wrapped results Now comes the big one — Monads. For example: safeDivide :: Float -> Float -> Maybe Float Using the “bind” operator (>>=), we can write: Just 100 >>= (\x -> safeDivide x 2) >>= (\y -> safeDivide y 5) If any step returns Nothing, the whole chain stops. And if you prefer cleaner syntax, do notation does the same thing with less noise. Wrapping up Functor → apply a function inside a context Applicative → apply a wrapped function to a wrapped value Monad → chain functions that return wrapped values That’s it — the scary word hides a very simple pattern. You’ll see it everywhere in Haskell: Maybe, IO, Either, List — all of them are Monads. Once you understand one, you’ve got them all. If you want to see this concept click into place, check out the full video — I walk through everything live in GHCi with examples and visuals.  ( 7 min )

Perfect Landing Page: Halloween Night 🎃 What I Built -Dark mode design to capture the Halloween mood. The goal was to make the landing page both visually appealing and interactive, giving users a magical Halloween experience. Demo https://codepen.io/Minal-Prasad/pen/emJqKWX Journey Using Three.js to create interactive 3D elements directly in the browser. I’m particularly proud of how the 3D pumpkin scene integrates seamlessly with the content and navigation, making the landing page immersive without overwhelming the user. Next, I hope to enhance it further with: Glowing pumpkin eyes that flicker dynamically. Team: Solo project by Minal Prasad  ( 6 min )

Introduction When building decentralized applications that interact with smart contracts, one of the most critical aspects is proper error handling. In Equillar, we've implemented an error handling strategy that bridges the gap between our Rust smart contracts and the PHP backend application. In this article, I'll explain how we manage contract errors end-to-end, from definition in Rust to user-friendly messages in our PHP application. Soroban smart contracts, written in Rust, need to communicate errors back to the calling application. These errors must be: Well-defined and predictable Easy to handle in the backend Translatable to user-friendly messages Let's analyze how we achieve this in Equillar. First, we define all possible errors in our Rust smart contract using an enum with the #[…  ( 9 min )

Introduction This article started from a conversation in our V-Mobile office. We were discussing cases where new company logos suspiciously resembled famous brands. In many instances, these similarities seemed intentional—designed to confuse customers and boost sales, especially in smaller markets. As AI enthusiasts, we naturally started with popular AI models. DINO is excellent for image similarity detection. However, it can be easily confused by background changes or gradient fills. 0.56 between their embeddings.(Note: Throughout this article, "distance" means cosine distance unless specified otherwise.) This high distance means DINO thinks they're quite different, even though they're clearly similar to human eyes. This creates false negatives—we might miss real similarities. CLIP is…  ( 10 min )

Understanding how HTTP requests map to TCP connections gives backend engineers the ability to build efficient, responsive systems. In Node.js, the req.socket property exposes the underlying TCP socket for each request, allowing servers to detect disconnects, cancel work, and free up resources when clients abort requests. This article explores how req.socket works, how to use it to implement cancellation logic, and how to propagate abort signals through your application layers. req.socket Actually Is Every Express request object (req) is an instance of Node.js’s IncomingMessage, which represents the HTTP request stream. IncomingMessage holds a socket property that refers to the underlying net.Socket — the raw TCP connection between the client and the server. // Example: inspecting a requ…  ( 8 min )

Laravel Boost is an MCP server equipped with over 15 tools to help your AI assistant generate high-quality Laravel code. By default, your installation doesn’t include an option to run with Gemini CLI, — but there’s an easy way to set it up. If you haven’t installed it yet, run this command to install Gemini CLI globally: npm install -g @google/gemini-cli Navigate to your Laravel project and install the package: composer require laravel/boost --dev Then install the MCP server and the coding guidelines: php artisan boost:install Once installation is complete, create a JSON file for your Gemini CLI settings at: .gemini/settings.json Paste the following content inside: { "mcpServers": { "laravel-boost": { "command": "php", "args": ["artisan", "boost:mcp"] } } } That’s it! To confirm that the MCP servers and tools are properly integrated, start the Gemini CLI and run: /mcp list You should see a list of all available tools. Laravel Boost also includes some tools for Herd. { "mcpServers": { "laravel-boost": { "command": "php", "args": ["artisan", "boost:mcp"] }, "herd": { "command": "php", "args": ["C:/Users/user/.config/herd/bin/herd-mcp.phar"], "env": { "SITE_PATH": "C:\\OurPath\\project-name" } } } } That’s it! 🎉 I hope this helps you get Laravel Boost running smoothly with Gemini CLI.  ( 6 min )

If you’ve ever exported data from an app or database, you know the drill. And before you know it, you’re bouncing between Excel, VS Code, and a folder full of “final_v3_cleaned.csv” files. I built Gridscript.io to stop that cycle — and give developers and analysts one place to transform data instantly, using JavaScript or Python, right in the browser. Excel is amazing for quick inspection, filtering, and small edits. You end up writing scripts like this: import pandas as pd df = pd.read_csv("data.csv") df["price"] = df["price"].astype(float) df.to_csv("data_cleaned.csv") All of that just to import the data and this doesn't take into account the time spent to setup the project and install dependencies. GridScript eliminates the need for setups, dependencies, or switching tools. Here’s the …  ( 7 min )

I wasn't looking for a game idea when I picked up Mazes for Programmers by Jamis Buck. I was just curious about algorithms and looking for something different from the usual data structures textbooks. And the book gave me that - it was incredibly well-written. I couldn't stop reading. But there was one problem: all the code examples were in Ruby. Ruby is not exactly my cup of tea. As an iOS developer, I am familiar with it, but I never got fluent. But I was itching for a new project, and I wanted to truly understand these algorithms, not just copy code in a language I didn't know. So I embraced the challenge and started converting the code to Swift. What began as a simple translation exercise eventually evolved into a full Swift framework, then a demo app, and ultimately became an iOS game…  ( 11 min )

Crypto swings 10% a day. A stablecoin is a digital token pegged 1:1 to a stable asset (USD, EUR, GBP). ✅ Fiat-backed (USDC, USDT, PYUSD) → backed by cash/T-bills in a bank. For banks, EMIs & PSPs, only fiat-backed matters: regulated, redeemable, and bank-collateralized. ⸻ Where they’re used today 💸 Payments & settlement — faster cross-border flows Visa already settles some payments in USDC. PayPal issues PYUSD via Paxos. ⸻ Regulation catches up (2024–2025): 🇪🇺 MiCA → EUR stablecoins: 1:1 reserves, redemption rights 👉 If it acts like money → regulate it like like money. ⸻ Opportunities for EMIs & banks ⸻ Why it matters now Stablecoins aren’t “future crypto hype.” They’re today’s upgrade to global money movement. 💬 Stablecoins #Fintech #Payments #Blockchain #Crypto #DigitalFinance #Innovation #EMI #BankingTransformation  ( 6 min )

FinTrust: Testing AI Trustworthiness in Everyday Money Matters Ever wondered if a robot could safely handle your bank account? FinTrust is a new test that puts AI models through real‑world finance scenarios to see how trustworthy they really are. all the AIs stumbled, revealing a big gap that needs fixing. FinTrust shines a light on where we stand and pushes developers to build smarter, safer financial assistants. Read article comprehensive review in Paperium.net: FinTrust: A Comprehensive Benchmark of Trustworthiness Evaluation in FinanceDomain 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 22 min )

This is a submission for Frontend Challenge - Halloween Edition, CSS Art. Hey everyone, and Happy Halloween! For this CSS art challenge, I didn't want to just make a static image. I wanted to build a living 'diorama' a small, spooky scene you could actually play with. As the title suggests, there are both "Tricks" and "Treats" hidden inside. This isn't just for looking it's for interacting. The scene is packed with... surprises. See if you can find them all: Try double-clicking the 'Trick or Treat' neon sign... if you dare. Click on the ghosts to see a special apparition. Make the Jack-o'-lantern glow! Click it as many times as you can and watch it. This is my "treat" (the technical details) behind the "tricks" (the interactive scares). This is a CSS Art challenge, so the entire visual sce…  ( 7 min )

Build a Highly Available Pi-hole Cluster with Ansible (VRRP) Danylo Mikula ・ Nov 7 #pihole #raspberrypi #ansible #tutorial  ( 5 min )

Introducing Beitha: The first AI browser automation extension Anwar Laksir ・ Nov 9  ( 5 min )

If you’ve worked with Java ☕️ long enough, you probably remember when thread management felt less like coding and more like careful resource budgeting. We had to size our thread pools just "right", because Too small -> and requests would just pile up, and waiting forever. Too large -> and memory vanished quickly. as each thread reserved a big chunk for itself. Even worse, your CPU would spend all its time just switching between threads instead of doing actually work. And when I/O came into play — like, blocking on a database call or waiting for a network response — we either had to accept wasted threads or jump into async APIs, callbacks, and CompletableFuture chains. We all made it work, of course. But it was a constant headache. We spent more time fighting with the concurrency model than…  ( 9 min )

🧭 Securing Outbound Traffic at the DNS Layer with AWS Route 53 Resolver DNS Firewall When you think of network security in AWS, you probably picture Security Groups, NACLs, or AWS Network Firewall. But what if you could stop malicious traffic before it even knows where to go — before an IP address is ever resolved? That’s the power of AWS Route 53 Resolver DNS Firewall. Every outbound connection starts with a DNS query. Whether your EC2 instance is reaching an API, a SaaS endpoint, or — in a worst-case scenario — a command-and-control (C2) domain — the first step is always: “What’s the IP of this domain?” Attackers exploit this by using DNS for malware callbacks and data exfiltration. Traditional firewalls inspect packets after DNS resolution. DNS Firewall stops threats before they e…  ( 9 min )

Addressing traceability in language models within practical limits We’re doing alchemy with billion-dollar budgets. There is a clear issue in AI that is becoming commonly understood: it is now one of the biggest single chunks of the U.S. economy, but is built on a technology with myriad key aspects that the industry can’t explain. Commercial AI development invests billions in RLHF, constitutional frameworks, and specialized training runs. These produce measurable benchmark improvements while the industry remains unable to explain why they work, why they fail under pressure, or how to predict what outcomes will emerge before implementation. This isn’t a failing paradigm seeking replacement. It’s the absence of paradigm entirely. Thomas Kuhn identified pre-paradigmatic science as competing t…  ( 12 min )

🎃 Inspiration Halloween’s eerie and magical vibe inspired this project — glowing jack-o’-lanterns, haunted houses, flying bats, and a luminous moon. My goal was to create an interactive 3D Halloween scene using only CSS, where users feel like they’ve stepped into a spooky, haunted pumpkin realm. 💻 Demo 3D Haunted Pumpkin Realm https://codepen.io/Minal-Prasad/pen/MYKNGLG https://github.com/minalprasad08/halloween-css-art-3d 🛠 Journey I’m particularly proud of how CSS alone creates a glowing, immersive Halloween atmosphere. Team: Solo project by Minal Prasad  ( 6 min )

RDBMS systems commonly try to improve query performance by caching a statement's execution context and re-executing it with different parameter values. This approach avoids the overhead of parsing, rewriting, and planning on each execution. PostgreSQL implements this through Prepared Statements. Disclaimer: This article is written for the purpose of understanding how Prepared Statements work in Java and its official PostgreSQL JDBC driver (PgJDBC). It might not be a comprehensive guide to Prepared Statements and is not intended to be a substitute for reading the official documentation. PostgreSQL executes SQL commands through one of two protocols: The Simple Query protocol: The client sends a textual query string, which is parsed and immediately executed by the server. The Extended Query p…  ( 10 min )

4 ChatGPT Hacks that Cut Your Workload in Half Jeff Su breaks down four easy yet powerful techniques—Prompt Reversal, the 5-Minute Amplifier, the Red Team self-critique, and Blueprint Scaffolding—that help you craft better AI prompts, repurpose one idea into multiple formats, force ChatGPT to outline its reasoning, and even get it to proof its own output. Each hack comes with real examples you can start using today to cut your AI workflow time in half, no matter your role or industry. On top of that, Jeff’s got a free HubSpot ebook, a detailed blog post, and links to his AI course waitlist, Workspace Academy, and Notion Command Center so you can level up your entire productivity stack. Feel free to dive in, grab the resources, and start hacking your way to smarter, faster results! Watch on YouTube  ( 6 min )

zer0DAYSlater is a modular, offline-capable red-team research framework built to simulate advanced adversarial behavior, analyze persistence models, and test multilayer exfiltration and evasion techniques in isolated lab networks. It combines a command-and-control mesh, multi-protocol exfiltration modules, agent lifecycle management, and process-level concealment mechanisms into a unified experimental platform for understanding the operational lifecycle of modern intrusion tooling. The framework is built purely for authorized security research, red-team development, and training within controlled environments. 🔗 GitHub Repository: https://github.com/GnomeMan4201/zer0DAYSlater agent/) Implements autonomous node behavior. Each agent instance acts as an independent research implant capable…  ( 9 min )

Everything Wrong With Sinners In 15 Minutes Or Less CinemaSins is celebrating Halloween by “sinning” what they call one of the greatest genre movies of the year in just 15 minutes, complete with their signature quips and snarky commentary. They also invite you to dive deeper—visit their website and Linktree for more channels (TV Sins, Commercial Sins, the Podcast Network), fill out a “sinful” poll, support the small team on Patreon, and connect on Discord, Reddit, Instagram, TikTok, and more. Writers featured include Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, and Daniel. Watch on YouTube  ( 6 min )

Everything Wrong With Thunderbolts* is Cinemasins’ rapid-fire roast of the new Avengers sequel, packing every nitpick and plot hole into a sub-20-minute video—yet they cheekily admit the movie might actually be pretty fun. Of course, they’re also milking their empire: hit up their website and linktree for all the channels (TVSins, Commercial Sins, Cinemasins Podcast), join the Discord/Reddit, fill out their sinful poll, and consider supporting the team on Patreon. Writers’ social links are sprinkled throughout, too. Watch on YouTube  ( 6 min )

Predators – Caravan of Garbage dives into how the 2010 film finally shook off the clunkiness of earlier sequels by dropping a motley crew of warriors into a muddy jungle gauntlet. It brings back that gritty, survival-of-the-fittest vibe we love, plus a few fresh twists that give it more bite than its Alien vs. Predator predecessors. Despite its cult appeal and a fanbase clamoring for more, “Predators” never got an official follow-up—leaving us wishing this brutal reboot had spawned a proper sequel. Watch on YouTube  ( 6 min )

Unlocking PIM Potential: A Software-First Approach to Power Integrity Tired of performance bottlenecks holding back your cutting-edge applications? Processing-in-Memory (PIM) offers a tantalizing solution – compute directly within the memory chip itself. But there's a catch: increased operating frequencies and complex designs often lead to significant voltage droop, crippling performance and threatening chip reliability. To overcome this hurdle, imagine a system where software intelligently collaborates with the hardware to anticipate and mitigate these voltage fluctuations. The core idea is to dynamically adjust the chip's operating parameters, trading off performance for stability in critical areas, all driven by insights gleaned from the software workload. Think of it as a smart therm…  ( 7 min )

AI Trading Bots See Surge, But Experts Warn: Not a \"Set It and Forget It\" Solution\n\nThe world of cryptocurrency and traditional finance is buzzing with the increased adoption of AI trading bots. These sophisticated algorithms are designed to analyze market data, identify trends, and execute trades automatically, often at speeds and efficiencies impossible for human traders. Cointelegraph recently highlighted a significant rise in their usage, attracting both seasoned investors and newcomers eager to capitalize on market volatility without constant manual oversight. The appeal is clear: potential for optimized returns, reduced emotional trading, and round-the-clock market participation, making them seem like the ultimate tool for modern investing.\n\nHowever, this rising trend comes wit…  ( 16 min )

Week 3: From 0 to 30 Developers (Building in Public) Liquidcode ・ Nov 8 #webdev #programming #startup #buildinpublic  ( 5 min )

In this article, we’ll explore the Circuit Breaker pattern — a crucial design pattern for building resilient microservices in Go. When designing distributed systems, it’s not a question of if something will fail — it’s when. In production systems, retries and backoff strategies help, but sometimes they’re not enough. Circuit Breaker patterns come in — providing a way to gracefully degrade your system instead of letting failures cascade. A Circuit Breaker acts like an electrical switch. It prevents resource exhaustion, retry storms, and latency chain reactions across your microservices. Closed → Everything works fine. Requests flow normally. Open → Too many failures occurred. Stop requests immediately. Half-Open → Test a few requests to check if recovery happened. Let’s simulate a productio…  ( 8 min )

코딩테스트를 javascript로 그동안 준비했었는데 결국에는 python으로 갈아탔습니다. 평소에도 코드를 javascript로 작성하기에 문법에 익숙해서 구현하기가 편한데, 다른 언어들은 꾸준히 사용하지 않다보니 문법을 자주 잊어버리게 돼요. 코딩테스트 언어로 javascript를 선택하여 언어 문법 자체도 잘 알게 되고 익숙한 언어로 코딩테스트도 수월하게 볼 수 있으니까 일석이조 아닐까요? 이 이론은 여러번의 실험 끝에 저를 배신했습니다. 라이브러리 없는 javascript의 실용성이 너무나도 떨어지기 때문이에요. 어떤 부분이 javascript를 비생산적으로 만들고 코딩테스트에서 여러분을 불리하게 만들 수 있는지 소개합니다. 프로그래머스 환경에서 코딩테스트를 지원하는 기업이 아닌 경우 높은 확률로 javascript를 지원하지 않습니다. 반면 C++, Java, Python의 경우에는 대기업부터 스타트업까지 전부 다 지원하게 됩니다. 서비스 기업의 채용 프로세스를 쉽게 통과할 수 있는 분들의 경우에는 좋아하는 언어로 코딩테스트를 보셔도 되지만 채용 상황이 좋지 않아서 어떤 기업이든 일단 취업을 하시길 희망시는 분들의 경우에는 저 세가지 언어 중에서 고르시는 것이 좋지 않을까 싶네요. queue를 어떻게 구현하려고 하셨나요? 대부분 아래의 아이디어를 떠올리셨을 겁니다. array.push()와 array.shift()를 사용해서 구현해야지. 하지만 이 구현 방식으로는 높은 확률로 시간복잡도 제한에 걸려서 문제의 시간 제한을 통과하지 못할 겁니다. 따라서 stack 두개를 활용하여 직접 queue를 구현해…  ( 8 min )

"You can't improve what you can't measure." - Peter Drucker Last year, our production Camunda clusters started showing strange behavior. Process instances were stuck. Job executors were falling behind. Incidents were piling up. But our monitoring dashboards? They showed everything was "green." 🟢 or just "no data to show" I've been working with Camunda 7 for years, and monitoring has always been the painful part. Not because monitoring tools don't exist - quite the opposite. I've tried them all: Datadog - Great for infrastructure, expensive, doesn't understand workflow engines Grafana + Prometheus - Powerful but requires extensive configuration for Camunda-specific metrics Promtail + Loki - Built custom log parsing pipelines, spent more time maintaining them than using them ELK Stack - Ove…  ( 12 min )

User Scanner Repo: https://github.com/kaifcodec/user-scanner Scan a username across multiple social, developer, and creator platforms to see if it’s available. Perfect for finding a unique username across GitHub, Twitter, Reddit, Instagram, and more, all in one command. ✅ Check usernames across social networks, developer platforms, and creator communities. ✅ Clear Available / Taken / Error output for each platform. ✅ Fully modular: add new platform modules easily. ✅ Command-line interface ready: works directly after pip install. pip install user-scanner Scan a username across all platforms: user-scanner -u Optionally, scan a specific category or single module: user-scanner -u -c dev user-scanner -l # Lists all available modules user-scanner -u -m gith…  ( 9 min )

“The dragon’s eyes gleam red in the darkness. Roll for initiative.” You wait. The AI Dungeon Master pauses... then declares you rolled a 47. On a twenty-sided die. Something’s not right here. Welcome to the chaotic crossroads of artificial intelligence and tabletop imagination — where LLMs try to become Dungeon Masters, and reality checks in with a +5 modifier. Anyone who’s played Dungeons & Dragons knows the bottleneck: finding a good Dungeon Master is harder than finding a +3 sword in a kobold’s lair. Never cancels sessions. Doesn’t need prep time. Remembers (sort of) every NPC voice. Can spin infinite side quests on demand. 🧩 AI Dungeon (Latitude.io): The OG of AI storytelling. 100K+ players exploring endless worlds. 🏰 Friends & Fables: Multiplayer AI DM “Franz” handles …  ( 9 min )

When developing solutions, it’s easy to get distracted by shiny new tools. A sleek interface, a trending platform, a feature-rich dashboard, all tempting shortcuts to progress. But here’s the truth: tools are irrelevant without purpose, process, and people. Choosing software is not a strategy. It’s a tactic, one that only works if it’s embedded in a well-defined process. Whether you’re hiring, building workflows, or designing systems, the real question isn’t “What tool should we use?” but “What problem are we solving, and how will we sustain the solution?” A poorly defined process will fail in any tool. A well-defined process will succeed in almost any. That same process can also adapt and scale. The most successful systems aren’t built around tools. The requirements gathering phase, where…  ( 7 min )

This debugging story is from the do-not-stop project - a full-stack Web3 app with React frontend, React Native mobile frontend, Node.js backend, and multi-blockchain smart contracts. It all started with a crash in @reown/appkit-react-native. While debugging that crash, I noticed something weird happening with valtio. The subscribe() function seemed to work fine, but proxy() wasn't behaving as expected. I decided to dig into the library code itself and added some debugging directly in node_modules/valtio/vanilla.js. I printed proxyStateMap.get(proxyObject) in both functions, and that's when things got interesting: In proxy(): Got the correct value ✓ In subscribe(): Got undefined ✗ Wait, what? They were completely different WeakMap instances from different valtio module instances! The proxy …  ( 8 min )

🎵 Project Showcase: Spotify-Live-Banner Tired of static stats on your GitHub profile? I recently launched Spotify-Live-Banner, a small, open-source web service that fetches your currently playing Spotify track and renders it as a clean, real-time, animated SVG image banner. It's a fun way to bring life to your profile, and I wanted to share the process of building it with Python and Flask. The project serves a single purpose: to provide a highly customized image URL that displays your live music activity. Data Source: Fetches the user's currently playing track from the Spotify API. Rendering: Uses Flask to serve a route that dynamically generates an SVG image based on the song data and user-defined themes (colors, animations, layout). Target Audience: Developers looking for a dynamic p…  ( 7 min )

Express.js gives you freedom. It doesn’t force strict rules on where files should go or how your app should be organized. That flexibility is useful when experimenting, but as soon as your application grows beyond a few routes, a messy structure begins to slow you down. A good project structure turns your Express application into a well-arranged workspace where logic is easy to find, features are modular, and growth feels natural. This article explores how to design an Express project structure that is clean, scalable, and maintainable. A well-organized Express project helps you: As features grow, you add new files without breaking the old ones. Other developers can quickly understand and navigate the project. Routing, controllers, business logic, and database layers remain independent. Cl…  ( 8 min )

4 ChatGPT hacks slash your workload in half! Instead of endless back-and-forth tinkering, the Prompt Reversal Technique has you analyze strong ChatGPT outputs and flip them into perfect prompts. With the 5-Minute Amplifier, you can instantly repurpose a single idea into blog posts, social media threads, email drafts and more—no extra sweat. For quality control, the Red Team Technique asks ChatGPT to poke holes in its own work, ensuring you catch flaws early. And with Blueprint Scaffolding, you force the model to map out its reasoning step-by-step before diving in, so you always know exactly how it arrived at an answer. Try these tricks and watch your AI workflow speed up across any role or industry. Watch on YouTube  ( 6 min )

CinemaSins takes on “Sinners” in a punchy 15-minute roast session—calling out every nitpick, plot hiccup, and character quirk in a movie they secretly adore. It’s a Halloween-themed roast where the snark is real but so is the love for one of the year’s best genre flicks. For more sinful fun, swing by cinemasins.com or their Linktree for all the latest videos, join the Discord and Reddit communities, fill out their cheeky poll, and consider supporting the crew on Patreon. You can also catch the writers’ snarky takes on Twitter, Instagram, and TikTok! Watch on YouTube  ( 6 min )

Everything Wrong With Thunderbolts* (The New Avengers) in 20 Minutes Or Less takes the usual CinemaSins approach—racking up all the “sins” in Marvel’s latest team-up flick while still admitting it’s pretty fun. Along the way they plug their website, YouTube channels, social feeds, a quick poll, Patreon support, and give shout-outs to the writers plus community hangouts on Discord, Reddit, TikTok and beyond. Watch on YouTube  ( 6 min )

Predators – Caravan of Garbage Review Mr Sunday Movies hails Predators (2010) as a much-needed return to form for the franchise, ditching the shine of Alien vs. Predator for a gritty jungle hunt with a rag-tag band of mismatched warriors. It still has the visceral thrills—mud, mayhem and high-stakes survival—but layers on smart twists that make it stand out from its predecessors. He also laments that this fan-favorite never got an actual sequel, and plugs his usual bigsandwich.co extras, extended audio editions, social feeds and merch for anyone who wants more rabbit-hole rabbit punches. Watch on YouTube  ( 6 min )

Recently, a friend asked me, “What is lexical scope? Is it a type of Scope?”:). Great question!. Scope in JS often causes confusion. In this post, let’s discover Scope, Lexical scope in JavaScript Let’s start with scope. Scope determines the accessibility of variables. There are 3 types of scope: Global Function Block Global Scope Variables are declared outside any function or block Can be accessed everywhere in the code Function Scope Variables are declared inside a function Can be accessed only in a function, nested function, and can not be accessed outside of this function Block Scope Variables are declared inside a block (for, if..) (let, const) Can be accessed only in a block scope, can not be accessed outside of this block var doesn’t have block scope (because of hoisting, it will be…  ( 7 min )

When we tackle any task such as debugging code, answering questions, analysing data, completing workflows, we're essentially problem-solving agents using tools at our disposal: If it's familiar: We recall the steps from our memory or check our knowledge base If it's new: We are googling error messages, scanning Stack Overflow, pinging colleagues on Slack, tailing logs, running diagnostic commands Once we complete a task, one of two things or both happens: We document it - Add it to the wiki, create a runbook, update the knowledge base It lives in our head - We just remember "now I know how to do this" Next time the same task appears: We skip the research phase. We go straight to our documented solution or our memory. It's faster, more confident. Sometimes the old solution doesn't work anym…  ( 10 min )

It is always DNS... Sometimes It might seem as if the DNS, or the "Domain Name System", is highly unreliable. A major AWS outage was traced to an incorrectly set-up DNS entry, and the old hands (and new hands) in the industry all smiled knowingly and said "it's always DNS", even though it was really the DynamoDB global table names, the DNS was working perfectly, and nobody else would have been using that DNS entry directly. The DNS isn't really the cause of many outages and problems - but it is involved in lots of them, and has privacy leaks and performance issues. And this is because it is usually so reliable we use it for literally everything, and use it with an intensity that results in us pouring information into it as well as relying totally on the information we get back. In this p…  ( 16 min )

Good thoughts and intuition can lead to good results, but only benchmarks lead to great results. Once upon a time, I had the opportunity to build a custom data structure. We needed something like a queue to act as a cache — a rolling buffer with a constant size, always filled with the latest data as the oldest expires. The requirements sounded simple: Single writer, multiple concurrent readers Readers iterate safely while data is being written As little garbage and synchronization overhead as possible Simple, right? Naturally, the first candidates were Java’s built-in structures: Structure Pros Cons ArrayList Simple, contiguous O(n) to remove oldest element LinkedList Fast removals Creates garbage, poor cache locality ArrayDeque Nearly perfect Not thread-safe, fails under con…  ( 8 min )

Sometimes the best way to learn a new language is to solve your own problem. I'm primarily a JAMstack developer. I build static sites with Eleventy, Jekyll, and Hugo. But I had a problem: I write daily in Bear and I wanted to automatically track my word counts in Beeminder without manual logging. The catch? Both Bear by Shiny Frog and Beeminder have APIs... but they're not web APIs. They're native APIs. Which meant I needed to learn Swift. So I did. 🧑‍💻 What I learned building Bearminder: The result? The lesson: For me, this was a reminder that good developers aren't defined by their tech stack. We're defined by our willingness to learn whatever solves the problem in front of us. If you're a Bear user who also uses Beeminder (niche, I know), the code's on GitHub: https://github.com/brenn…  ( 11 min )

A few years ago, I caught myself watching the same tutorial for the third time. So, I decided to try something simple — taking notes while learning. Today, this habit has become a cornerstone of how I learn and grow as a developer. Here’s what I’ve learned along the way: 🧩 Writing in your own words reveals what you truly understand. Notion — for structured learning databases and linking concepts. In a fast-moving field like software development, the ability to learn efficiently is often more important than knowing everything. How do you approach learning in your development journey?  ( 7 min )

Your org still treats security like a nightclub with a bored bouncer. Check the ID, wave them through, hope for the best. Meanwhile, attackers stroll in with backpacks full of malware and long-lived tokens. You call it “zero trust.” I call it negligence. Identity without environment proof is cosplay. If your controls verify who’s asking but not what they’re actually running, you’ve already lost. See the pattern in recent breaches: session cookies and OAuth tokens get lifted, SSO looks “fine,” and the attacker impersonates you all the way to prod. CircleCI’s 2023 postmortem spelled it out: malware stole a 2FA-backed session and the actor escalated into production. That wasn’t a missing TLS flag; it was missing runtime verification and binding of credentials to a measured environment. :late…  ( 8 min )

AWS Cost Optimization Hub Reporting Automation This solution automates the extraction of AWS Cost Optimization Hub recommendations using AWS Lambda and stores them in Amazon S3 for further analysis and reporting. Architecture AWS Cost Optimization Hub: Source of cost optimization recommendations AWS Lambda: Processing engine for data extraction and transformation Amazon S3: Secure storage for generated CSV reports IAM Roles & Policies: Secure access control and permissions management Prerequisites AWS Account with appropriate permissions Access to AWS Cost Optimization Hub Basic understanding of AWS services (IAM, Lambda, S3) Implementation Steps Create an Amazon S3 bucket to store the generated cost optimization reports. Steps: Navigate to Amazon S3 in AWS Management Con…  ( 9 min )

Most programming languages begin with a clear intention. Formin didn’t. It started as a strange little esolang experiment built around an unusual flow-based command syntax, mostly for fun. Over time, though, something unexpected emerged: the structure turned out to be surprisingly good for concise numeric scripts and predictable control flow. That realization turned Formin from an esoteric toy into a small compiled language with a Fortran-based toolchain and a focus on math-heavy scripting. This post walks through the journey, the architecture, and some of the lessons learned while building a compiler and VM in Fortran. Origins: An Esolang With a Weird Syntax create#/greeting|'Hello!'/# color#/bright_green/# spew#/greeting|'World!/# It’s compact, rigid, and easy for an interpreter to read…  ( 7 min )

You can access the code of this chapter in the Kilo-Go github repository in the welcomescreen branch Currently your file structure should look something like this: Since we will be adding more features to the utils module, it only makes sense if we rename it from exit to utils mv exit utils File: utils/exit.go package utils import ( "fmt" "os" ) // SafeExit is a function that allows us to safely exit the program // // # It will call the provided function and exit with the provided error // if no error is provided, it will exit with 0 // // @param f - The function to call // @param err - The error to exit with func SafeExit(f func(), err error) { if f != nil { f() } if err != nil { fmt.Fprintf(os.Stderr, "Error: %s\r\n", err) os.Exit(1) }…  ( 12 min )

OK so I was doing some project and this came into my mind: What if linux made closed sourced instead of open-source? I asked chatgpt the same question, and I thought it's pretty awesome, just take a look chat link. Let me know what do you think? or how much gpt said it was true.  ( 6 min )

🗂️ Step 1: Setting up MongoDB Atlas Username: 22cs181 Once your cluster is ready, click “Connect → Connect using MongoDB Shell” and copy the connection string. 💻** Step 2: Connect from Mongo Shell** `bash Then enter your password when prompted: Enter password: Sujitha If connection succeeds, you’ll see: Atlas atlas-xxxx-shard-0 [primary]> 📥 Step 3: Create a Database and Insert Records javascript Insert 10 sample business review records: javascript 🔍 Step 4: Queries javascript 🔤 4.2 Count of Reviews Containing “good” javascript 🏪 4.3 Get Reviews for a Specific Business ID javascript ✏️ Step 5: Update and Delete javascript 🗑️ Delete a Record javascript 📤** Step 6: Export Data to JSON/CSV** bash Then run the following from PowerShell (not inside mongosh) 👇 📄 Export as CSV bash 📦 Export as JSON bash 📊** Step 7: View the Exported Files** 🎯** Final Thoughts** Manage cloud-hosted databases Perform CRUD operations Export results in multiple formats This project demonstrates all essential MongoDB operations — perfect for Data Engineering and Database Management learning tasks.  ( 7 min )

I built a calculator that does more than just add numbers. It's a full mathematical computing environment in your terminal with logical operations, comparison operators, unit conversions, and persistent memory. This is an active project - I'm constantly working on it, adding features, fixing bugs, and improving performance. Because most CLI calculators are just arithmetic. They add, subtract, maybe handle some trig functions, and that's it. I wanted something that could handle real computational work: Compare values and return boolean results Chain logical operations with proper precedence Convert between units without leaving the terminal Store variables and reuse them across sessions Handle scientific notation properly Remember your calculation history Basically, a calculator that works …  ( 10 min )

Boost Productivity in Your BPO with AI Voice Agents Meta description: Deploy human-like AI voice agents to automate routine BPO calls, reduce average handle time (AHT), and scale operations without adding headcount. BPO teams face rising call volumes, tighter SLAs, and pressure to deliver more with the same headcount. Human-like AI voice agents automate repetitive interactions—verification, scheduling, FAQs—so skilled agents focus on high-value conversations. Learn more with the Monobot BPO solution. Manual verification and data gathering slow resolution and inflate costs. Constant hiring and training increase time to productivity and attrition. Long queues and repeat questions hurt customer satisfaction. Voice AI contains routine calls and hands off complex cases to humans with full c…  ( 7 min )

In marketing and design, visuals speak louder than any slogan. A single image can evoke trust, excitement, nostalgia, or even discomfort — emotions that profoundly shape how audiences perceive brands. But what if technology could understand these emotional reactions before a campaign ever goes live? That’s the promise of AI and visual sentiment prediction — a transformative blend of artificial intelligence, psychology, and design analytics that enables marketers to measure and predict emotional responses to visual content. With the rise of AI-powered creative intelligence, brands can now quantify what was once purely intuitive: how colors, compositions, and imagery trigger human emotions. This insight empowers them to design visuals that don’t just attract attention but connect deeply with…  ( 8 min )

Hey everyone, I’m Paulo, and I've recently started building my own products. I noticed that every time I wanted to share an idea online, I felt like I had to rewrite it to match the tone of each platform. So I built a small tool called PostIdentity. It is still early, but I am trying to understand if this idea actually helps creators or if it only solves a small personal pain of mine. I would really appreciate any honest feedback. Here are some short demos showing how it works: Post Generation: https://www.youtube.com/watch?v=eOhihIecnrw Extension: https://www.youtube.com/watch?v=zc7UfzwSFw0 MCP Server: https://www.youtube.com/watch?v=lrqwAnX3B_Y Thanks for reading, Paulo  ( 6 min )

I didn't understand Git until I broke it open and rebuilt it from scratch. No libraries, no shortcuts - just SHA-256 hashing, tree structures, and commit graphs. TL;DR: I built a Git implementation in Go without using any Git libraries. No magic, just content-addressable storage and the object model. It works, it taught me more about Git in a week than years of using it, and here's what I learned. This wasn't from a single source. I pieced it together from: CodeCrafters - Their "Build Your Own Git" challenge gave me the structure and pushed me to actually implement things Random YouTube videos - Honestly, just searching "how git works internally" and watching whatever came up. Some were helpful, most weren't "Building Git" book - Wasn't really helpful for what I needed, but it did clarify …  ( 10 min )

Hi everyone! I love working with HTML, CSS, and Webflow to create elegant, structured designs that balance usability and aesthetics. #webdesign #frontend #html #css #productivity  ( 6 min )

A few weeks ago, my company, QuestionPro, provided a subscription for GitHub Copilot. I hadn't used AI to write code entirely and had never "vibe coded" before. So, I thought I'd experiment with it. TL;DR: I'm not going to vibe code again! Maybe it was my lack of vibe code experience, but I couldn't get it to work very well. I wanted to create a sync manager to sync my local data to the cloud. I'm not a backend engineer, so I described to the AI what I wanted to do. It gave me a detailed PRD (Product requirement document), which I then fed to my agent—in this case, Copilot. It created some files, but they didn't work. I shared the error, it fixed something, and then it failed to work again. After some back and forth, it finally worked (or so I thought). And guess what? It had created four …  ( 11 min )

In an age where design trends evolve faster than ever, creativity is no longer just about intuition — it’s about foresight. Brands, artists, and marketers need to anticipate what audiences will love next, not just what they love now. This is where Artificial Intelligence (AI) steps in as a visionary partner, transforming creative forecasting from guesswork into a precise, data-driven science. Creative trend forecasting powered by AI allows creators to spot emerging patterns in design, color, culture, and emotion long before they become mainstream. By analyzing millions of visual, textual, and behavioral data points, AI helps creative teams stay ahead of the curve — crafting campaigns, visuals, and products that resonate with future audiences. Traditional trend forecasting relied heavily on…  ( 8 min )

From TCP Sockets to Thread Pools: Building a Production-Grade C++ Web Framework When you type a URL into your browser and hit enter, something magical happens behind the scenes. Within milliseconds, your request travels across the internet, finds the right server, gets processed, and returns with the content you requested. But have you ever wondered what's really happening inside that web server? Building a web server from scratch strips away the magic and reveals the elegant engineering underneath. It's where operating system concepts, network programming, and concurrent computing converge into a single, cohesive system. This is the story of NanoHost - a journey from raw TCP sockets to a production-grade C++ web framework. Every web server begins with a socket - a file descriptor that a…  ( 11 min )

Exploring Backend Development with Rust and Go: Insights from Web Developer Travis McCracken As a passionate Web Developer specializing in backend technologies, I've spent a significant portion of my career exploring the strengths of languages like Rust and Go for building robust, scalable APIs. These languages are transforming backend development, offering performance, safety, and concurrency features that traditional languages often struggle to match. Today, I want to share my insights on working with Rust and Go, including some of my favorite projects — fictional, but illustrative of the kinds of ideas I love to experiment with. Rust has rapidly gained popularity among backend developers, thanks to its focus on safety and performance. Its memory safety guarantees without a garbage col…  ( 8 min )

Prologue: The Quest for IaC Experience I decided to prepare for an SRE/DevOps internship and learn Infrastructure as Code. The challenge: build a portfolio project demonstrating IaC skills, but without using clouds or paid VPS — student budget is tight, and I don't trust those “free trials” that suddenly turn into bills. I asked AI assistants for advice and got: "Use Vagrant + Ansible + Terraform!" Sounded impressive. In practice… well, let's just say it was an adventure. Installed Vagrant on my CachyOS and added plugins as recommended by Arch Wiki. Created a basic Vagrantfile — what could possibly go wrong? Error #1: The Ghost of Plugins Past undefined method 'exists?' for class File (NoMethodError) path && File.exists?(path) The vagrant-vbguest plugin had been abandoned since …  ( 7 min )

As a Software Engineer passionate about digital transformation and AI innovation, I wanted to explore how artificial intelligence can help families make smarter food decisions. This idea became the foundation for “SavvyBite” an AI-driven food budgeting and cooking companion designed to make home management smarter, cheaper, and more sustainable. The Problem: Everyday Waste, Hidden Costs Most people don’t realise how much money they lose due to poor planning. Unused groceries, forgotten leftovers, and impulsive shopping decisions add up. Beyond household budgets, this creates a significant environmental impact through energy and resource waste. That’s where technology, particularly AI and data-driven insights can make a real difference. The Solution: Predictive Food Budgeting SavvyBite’s co…  ( 7 min )

When you start a new project the temptation is to jump right into the "fun" part: writing code. Setting up linting, formatting and testing feels like "admin work" you can do later. This is a trap Fast forward two weeks, your code works but it's a mess. Formatting is inconsistent, you are terrified to refactor anything in case it breaks and adding a new feature feels like you are playing Jenga. You are living in chaos. The best time to set up your proffessional development environment is in the very beginning. A few minutes of setup now, saves you hours of pain later. This post will help you build the essential scaffolding for any pro project. Linting (Finding code problems) Formatting (Making it look consistent) Testing (Making it robust) CI/CD (Automating it all) First, let's stop arguing…  ( 9 min )

Tired of endless prompt tweaking? Jeff Su shows four ChatGPT power-moves—Prompt Reversal, the 5-Minute Amplifier, the Red Team critique loop, and Blueprint Scaffolding—that streamline your process and can literally cut your AI workload in half. Each trick comes with real-world examples you can swipe and use immediately. Plus, you get tons of bonus goodies: a free HubSpot ChatGPT ebook, blog post walkthrough, video timestamps for quick jumps, and links to Jeff’s AI course, productivity gear, and more—so no matter your role or industry, you’ve got everything you need to level up your workflow. Watch on YouTube  ( 6 min )

As AI agents become more sophisticated and deploy across critical business functions, teams face a fundamental challenge: how do you thoroughly evaluate agent performance when real-world data is scarce, expensive, or privacy-constrained? This data scarcity problem becomes especially acute when testing edge cases, rare scenarios, or newly designed features that haven't yet accumulated production data. Synthetic data—artificially generated datasets that preserve the statistical properties and patterns of real data—has emerged as a powerful solution to this evaluation challenge. Research shows that synthetic data has been proven effective across a diverse array of tasks and domains, enabling teams to test AI agents against scenarios that would take months or years to encounter naturally. This…  ( 15 min )

Intro This demo shows how to integrate Stripe Checkout with ASP.NET Core. We handle the complete payment flow including session creation, webhook processing, and race condition management between client callbacks and server notifications. Why this matters: Stripe webhooks and client callbacks can arrive in any order. Your system needs to handle this race condition safely. This demo shows atomic state transitions and proper webhook verification for production-grade payment processing. (This demo simplifies some production implementations, explained in detail at the end.) The project contains a single ASP.NET Core application running on https://localhost:5001. Folder Structure: stripe-checkout-aspnet-demo/ ├── Controllers/ │ ├── CheckoutController.cs # Creates Stripe sessions │ ├── …  ( 10 min )

Predators – Caravan of Garbage dives back into the raw thrills of the ’80s classic by dropping a scrappy band of misfits into a muddy jungle playground and pitting them against the ultimate hunters. Unlike its weaker predecessors and the Alien vs. Predator detours, this 2010 reboot adds fresh twists that make the bloodshed feel new again. Despite the roaring fan love (and Mr Sunday Movies’ stamp of approval), we never got a true sequel to build on its momentum. If you’re craving more Predator lore with that gritty jungle vibe, this review is your ticket back to the hunt. Watch on YouTube  ( 6 min )

Generative artificial intelligence has quietly slipped into the fabric of daily existence, transforming everything from how students complete homework to how doctors diagnose chronic illnesses. What began as a technological curiosity has evolved into something far more profound: a fundamental shift in how we access information, create content, and solve problems. Yet this revolution comes with a price. As AI systems become increasingly sophisticated, they're also becoming more invasive, more biased, and more capable of disrupting the economic foundations upon which millions depend. The next twelve months will determine whether this technology becomes humanity's greatest tool or its most troubling challenge. Walk into any secondary school today and you'll witness a transformation that would…  ( 25 min )

As AI applications move from prototype to production, teams face a critical challenge: how do you systematically measure whether your AI agent is actually performing well? Generic benchmarks like MMLU or HumanEval provide baseline metrics, but they rarely capture the specific quality criteria that matter for your use case. This is where custom evaluators become essential. Custom evaluators allow teams to quantify performance based on application-specific requirements, moving beyond generic metrics to measure what truly matters for their users. Whether you're building a customer support agent, a code generation system, or a medical diagnosis tool, the ability to create tailored evaluation metrics can be the difference between shipping a reliable product and dealing with production failures.…  ( 13 min )

We just shipped a brand‑new Community Dashboard on TailView.work—purpose‑built for Rails developers who want a fast, modern, and accessible social surface without pulling in a front‑end megaframework. It’s powered by Tailwind CSS, Hotwire (Turbo + Stimulus), and real‑time updates via ActionCable. Built with Rails 7+, Tailwind, Turbo, Stimulus, and ActionCable Real‑time feed: new posts appear instantly without page refresh Clean, focused UI with native and for accessibility Thoughtful UX: keyboard‑first, high‑contrast states, reduced JS complexity Production‑ready patterns you can copy into your app Rails teams told us they needed: A real‑time, low‑friction place to share what they’re shipping Zero‑build, no‑webpack front‑end they can actually maintain An interface that f…  ( 7 min )

Flawed prompts derail AI projects before they start. Teams burn weeks adjusting prompts without testing frameworks, producing unreliable outputs that erode user confidence. Vague prompts cause AI models to hallucinate or contradict themselves—imagine a support chatbot asking customers to repeat information they already shared. Careless prompt design also opens security holes, allowing attackers to inject malicious commands that hijack the system. This guide covers prompt engineering best practices that prevent these failures and help you extract maximum value from AI models. Well-organized prompts produce reliable AI responses. Breaking your instructions into distinct sections prevents confusion and ensures the model understands exactly what you need. Think of prompt structure as the arc…  ( 9 min )

Even though Large Language Models (LLMs) appear to expertly understand and generate language, the truth is, like any other computer technology, they only deal in zeros and ones. So, how can an LLM, which only knows 0s and 1s, engage in such deep conversations with us using language? The first piece of that puzzle lies in what we're talking about today: the 'Token'. In this post, we're going to dive into what tokens—the literal cells of an LLM—actually are, why they are so crucial, and how these small units impact AI performance, cost, and even linguistic fairness. As always, we'll keep the math to a minimum. Let's start by uncovering the identity of the token. Simply put, a token is the basic unit an LLM uses to process text. Still a bit vague? Take the sentence, "I am hungry." If you want…  ( 17 min )

Confirmation was finished ✅️ ✅️ Our apimock-rs supports both of: 🚪 Listener to external interfaces (all interfaces) ❄️ IPv6 https://apimokka.github.io/apimock-rs/advanced-topics/listener/index.html It is a developer-friendly, featherlight and functional HTTP(S) mock server built in Rust 🩵  ( 6 min )

This will probably only serve my terrible memory in a couple of months when I revisit the topic and I have forgotten how I made it work, but I've heard AI guys are running out of training material so... From their ownrepo: GNSS-SDR This program is a software-defined receiver which is able to process (that is, to perform detection, synchronization, demodulation and decoding of the navigation message, computation of observables, and, finally, computation of position fixes) Global Navigation Satellite System's signals LNA GNSS Antenna (in my case this) RTLSDR V3-V4 recommended since they have software enabled Bias Tee Computer running Debian based system (Debian 9, Ubuntu 14.10 or above, in my case Ubuntu 24.04). From the README.md we can just follow along and install: $ sudo apt install bui…  ( 10 min )

Over the past months I've been building Genesis DB, an event-sourcing database engine designed around simplicity, performance, and real-world usability. Recently, I released the Genesis DB Community Edition. Completely free to use. Genesis DB CE is the freely available version of the database engine. Built for developers who want to explore event sourcing without friction, or use it productively in small-to-large projects. The goal isn't to limit you, it's to lower the barrier to entry. The Community Edition focuses on accessibility and learning, not artificial constraints. It's powered by the same core engine as the commercial edition, the same performance, the same reliability, the same expectations for serious developers. Docs: https://docs.genesisdb.io  ( 6 min )

Three weeks of network tracing revealed the truth: 73% of “AI startups” are thin wrappers running million-dollar hype on borrowed APIs. The $33M AI Startup Running on a $1.2K OpenAI Bill” Let’s be honest: half of what’s called “AI innovation” right now is just ChatGPT with a startup hoodie. I’m not saying that to be edgy I literally reverse-engineered 200 “AI startups” over three weeks. I looked at their network calls, tech stacks, and API usage. The results? About 73% of them were just pretty frontends sitting on top of OpenAI or Anthropic, some LangChain magic sprinkled in, and a fancy landing page claiming “proprietary AI.” It’s the new gold rush: everyone’s building “AI platforms,” but under the hood it’s the same OpenAI key, a Firebase DB, and an $89/month Vercel plan. A few even lef…  ( 12 min )

Dynamic Theming: A Developer’s Guide to Adaptive Color in UI Mike Vardy ・ Nov 9 #frontend #designsystem #uxdesign #ux  ( 6 min )

Reinventing Kubernetes in 2025: a post-mortem of my “simple” stack ・ Nov 5 #webdev #programming #kubernetes #devops  ( 5 min )

Level Up Your SPA: Advanced Performance Optimization for Beginners Ever visited a website that felt sluggish and unresponsive? That's the opposite of what we want for our Single Page Applications (SPAs)! While SPAs offer fantastic user experiences with their dynamic interfaces, they can sometimes struggle with performance if not properly optimized. But don't worry, you don't need to be a performance guru to make a real difference. Let's dive into some advanced, yet accessible, optimization techniques. A slow SPA isn't just annoying; it can seriously impact your project's success. Think about it: User Experience: Nobody likes waiting. Slow loading times and laggy interactions lead to frustrated users who are more likely to abandon your app. SEO: Search engines like Google consider pag…  ( 8 min )

How AI Foundations Like GPT‑4 Are Changing the Way Science Works Imagine a lab partner that never sleeps, can read millions of papers in seconds, and even suggests fresh experiments. Scientists have discovered that powerful AI tools such as GPT‑4 and AlphaFold are becoming that partner, turning the traditional “think‑then‑test” routine into a faster, smarter adventure. It’s a breakthrough that promises everyday benefits—healthier drugs reaching us sooner and smarter solutions for climate challenges. Stay curious and watch the science of tomorrow unfold today. Read article comprehensive review in Paperium.net: Foundation Models for Scientific Discovery: From Paradigm Enhancement toParadigm Transition 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 22 min )

The Big Picture: What Are We Even Testing? When you're analyzing data and want to test hypotheses, you need to choose the right statistical test. But here's the thing: not all tests are created equal, and not all data fits the same mold. This is where the distinction between parametric and non-parametric tests becomes crucial. Think of it as choosing between two different toolkits ie one requires your data to meet certain conditions, the other is more flexible. Keep in mind these central questions: "Does my data follow a specific distribution?" ie This determines which approach you can use. "What assumptions am I willing to make about my data?" ie This is the heart of the parametric vs non-parametric choice. Okay we'll go through parametric tests, then non-parametric then we'll compare t…  ( 9 min )

In an era where every byte of data holds value, it's easy to overlook the foundational importance of highly accurate, up-to-date geospatial data within automotive navigation systems. Beyond simply showing "where to go," modern map data plays a critical, often hidden, role in enhancing fuel efficiency and refining the overall driver experience. For developers building connected car applications, understanding this relationship is key to unlocking true value. Fuel Efficiency: Beyond the Powertrain While engine and aerodynamic design are primary drivers of fuel efficiency, intelligent navigation systems, powered by precise map data, offer significant secondary gains. Predictive Powertrain Control (PPC): Advanced ADAS features use map data to "look ahead" at road gradients, curves, and upcomin…  ( 7 min )

Jeff Su reveals four ChatGPT hacks that halve your AI workflow: Prompt Reversal Technique, the 5-Minute Amplifier, Red Team self-critique, and Blueprint Scaffolding. These tricks help you reverse-engineer winning prompts, repurpose a single idea across formats, force ChatGPT to critique its own output, and map its thought process before execution. They’re super-easy to apply in any role or industry—and save you hours of trial and error. Dive into the illustrated examples in his free ebook and blog post to get started fast. Watch on YouTube  ( 6 min )

How to persist data in Python? import simpsave as ss ss.write('key', [1, 2, 3]) print(ss.read('key1').append(4)) # [1, 2, 3, 4] If the project helps you, please feel free to give it a Star on GitHub :) https://github.com/Water-Run/SimpSave SimpSave is a Python featherweight key-value storage database for Python basic variables, leveraging Python's native powerful data structure support, "read-and-use", extremely easy to get started with, very suitable for use in various small scripts such as student assignments, or as configuration files, etc. SimpSave 10 is a major upgrade, bringing optional engine capabilities: the engine wrapper for sqlite provides it with a usable level in some lightweight production environments (although the functional API has no connection pool mechanism); while fo…  ( 12 min )

Everything Wrong With Sinners In 15 Minutes Or Less is Cinemasins’ cheeky Halloween video where they gleefully nitpick one of the year’s best genre films in record time—while also plugging their main site, YouTube spin-off channels and a fan poll (plus a Patreon shout-out if you’re feeling generous). The episode credits a dream team of writers (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel) and points viewers to their Discord, Reddit, Instagram, TikTok and Jeremy’s book through a handy Linktree for even more sinful fun. Watch on YouTube  ( 6 min )

TL;DR CinemaSins just released a snarky 20-minute deep-dive on everything wrong with Thunderbolts—and, of course, they still can’t help but wonder if the flick’s kinda awesome anyway. Expect the usual “sins” countdown with cheeky commentary from Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel. Wanna join the party? Hit up their website, Discord, Reddit and social channels, cast your vote in the “sinful poll,” or toss a few coins their way on Patreon to keep the jokes coming. Watch on YouTube  ( 6 min )

Python Web Frameworks: Crafting the Future of Web Development Introduction: The Pythonic Revolution in Web Development Python has transcended its origins as a general-purpose programming language to become a cornerstone of modern web development. Its simplicity, readability, and vast ecosystem empower developers to create everything from simple websites to complex, AI-driven web applications. At the heart of this revolution lie Python web frameworks—tools that streamline development, enforce best practices, and accelerate deployment. Why Python for Web Development? Readability & Maintainability: Python’s clean syntax reduces cognitive load, making codebases easier to maintain. Rich Ecosystem: Libraries for AI, data science, and cybersecurity integrate seamlessly with web frameworks. Commun…  ( 8 min )

1️⃣ HTML – HyperText Markup Language 2️⃣ CSS – Cascading Style Sheets 3️⃣ JS – JavaScript 4️⃣ API – Application Programming Interface 5️⃣ SDK – Software Development Kit 6️⃣ SQL – Structured Query Language 7️⃣ JSON – JavaScript Object Notation 8️⃣ OOP – Object-Oriented Programming 9️⃣ IDE – Integrated Development Environment 🔟 HTTP – HyperText Transfer Protocol 1️⃣1️⃣ HTTPS – HyperText Transfer Protocol Secure 1️⃣2️⃣ DOM – Document Object Model 1️⃣3️⃣ REST – Representational State Transfer 1️⃣4️⃣ AJAX – Asynchronous JavaScript and XML 1️⃣5️⃣ XML – eXtensible Markup Language 1️⃣6️⃣ TCP/IP – Transmission Control Protocol / Internet Protocol 1️⃣7️⃣ UI – User Interface 1️⃣8️⃣ UX – User Experience 1️⃣9️⃣ CLI – Command Line Interface 2️⃣0️⃣ MVC – Model-View-Controller 2️⃣1️⃣ CRUD – Create, Read, Update, Delete 2️⃣2️⃣ JSON – JavaScript Object Notation 2️⃣3️⃣ SQL – Structured Query Language 2️⃣4️⃣ FTP – File Transfer Protocol 2️⃣5️⃣ VPN – Virtual Private Network 💬 Tap ❤️ for more!  ( 6 min )

AI agents are transforming intelligent automation, and Mastra is leading the way. In this post, I’ll show how I built the Findwork Agent — an AI that fetches real job listings and interacts naturally with users. What Mastra is and how it works Setting up your Google API key (via AI Studio) Understanding the A2A Protocol and multi-agent interaction Creating and deploying your agent to Mastra Cloud Integrating your agent with Telex 🧠 What Is Mastra? Mastra is an open-source framework for building intelligent AI agents that can reason, use external APIs, and communicate with others via the A2A protocol. Check out the documentation to learn more about Mastra and installation. A name Instructions (its role and tone) Tools (functions or APIs it can call) And an execution …  ( 12 min )

This scenario teaches you how to see what will change in the cluster BEFORE applying YAML, similar to Git diff but for Kubernetes. This is extremely useful in real DevOps workflows, especially CI/CD pipelines. Most cloud environments (GKE, EKS, AKS, Cloud Shell) already have it. Check: kubectl diff --help If it shows help output, you're good. Create file: # diff-deploy.yaml apiVersion: apps/v1 kind: Deployment metadata: name: diff-nginx spec: replicas: 2 selector: matchLabels: app: diff-nginx template: metadata: labels: app: diff-nginx spec: containers: - name: nginx image: nginx:1.21 ports: - containerPort: 80 Apply it: kubectl apply -f diff-deploy.yaml Verify: kubectl get deploy diff-nginx kubectl get pods -l …  ( 7 min )

In the age of connected cars, over-the-air (OTA) updates, and advanced driver-assistance systems (ADAS), we often focus on the gleaming software features and sophisticated AI. Yet, there's a foundational layer that often gets overlooked, silently undermining the performance and safety of these cutting-edge vehicles: the geospatial data – your car's navigation maps. Many developers and product managers focus heavily on the user interface, routing algorithms, or new infotainment apps. But what happens when the map data itself is stale? The consequences range from minor frustrations to significant safety hazards, often revealing the true "technical debt" of an overlooked data pipeline. The Disconnect: Advanced Features vs. Obsolete Reality Imagine developing a sophisticated EV routing algorit…  ( 8 min )

Ever since I started getting interested in data and databases, SQL kept coming up everywhere. Job descriptions mentioned it, developers talked about it, and every data tutorial seemed to assume you knew it. I knew I should learn it, but something about "writing queries" and "working with databases" sounded... technical. Intimidating, even. What is SQL, anyway? SQL stands for Structured Query Language, but that formal name doesn't really tell you much. Here's what it actually is: it's how you ask questions to a database. SELECT * FROM users; I hit "Run" and... boom. A table full of data appeared on my screen. It felt too easy. Like there had to be more to it. But nope,that simplicity is exactly what makes SQL so useful. became my bread and butter. These two let me filter through data and g…  ( 8 min )

The SVG Mess We All Live In Let’s be honest: handling SVGs in modern web development is a fragmented mess. If you're on a React project, you npm install @svgr/webpack. The moment you switch to a Vue project, you're wrestling with vite-svg-loader. Working on a Svelte app? Time to find another package. Each tool comes with its own API, its own configuration, and—worst of all—its own mountain of transitive dependencies. A simple npm install @svgr/cli can dump over 15 packages and 18MB into your node_modules. This isn't just about disk space. It's about: Slower CI/CD pipelines A larger security attack surface Inconsistent workflows across your projects We've normalized this "one tool per framework" approach, but it's an anti-pattern. It’s time for a better solution. svger-cli: The Un…  ( 9 min )

In an era where audio content is everywhere — from lectures and webinars to podcasts and business meetings — the ability to convert speech into editable text quickly and accurately is crucial. Audio Converter AI is a web-based tool that promises high-accuracy AI transcription, speaker recognition, timestamps, and smart notes — all without signing up. The first impression is simplicity. The homepage guides you directly to upload audio files, with no distractions or complicated menus. You can: Drag and drop your audio (up to 1GB per file). Queue up to five files at a time. Choose your desired transcription options instantly. Everything happens in-browser, which means no installation is needed, and the interface is intuitive for students, content creators, and business professionals alike. H…  ( 7 min )

Right Team, Right Funding: The Unseen Connection In the high-stakes world of entrepreneurship, having a brilliant idea is just the beginning. The team behind your venture is crucial in securing the funding needed to bring your vision to life. Investors don't just bet on ideas—they bet on people. So, how can the right team enhance your ability to raise funds? Diverse Skillsets Attract Interest A well-rounded team with diverse skills can cover various aspects of business growth, from technical development to marketing strategy. This diversity not only demonstrates preparedness but also reduces perceived risk for investors, increasing their likelihood of backing your project. Proven Track Record Builds Trust Investors look for teams with a history of success. A proven track record, whether in past ventures or relevant industry experience, can significantly boost investor confidence. Highlighting a team member's previous successes in pitches can be a game-changer. Unified Vision Inspires Confidence A team that shares a unified vision showcases stability and commitment, key factors for investors. Consistency in your pitch and clear communication of goals indicate that the team is on the same page, ready to tackle challenges together. Leveraging technology like LeKlub-AI can make finding your perfect co-founder easier, ensuring your team has the right mix of skills and experience. Why leave it to chance when AI can help craft your dream team? Ready to match with your ideal co-founder and increase your funding chances? Try LeKlub-AI today and build a team that investors can't resist.  ( 6 min )

Introduction "What should I have for lunch?" "Should I try this new library?" From daily small decisions to technical choices, we face countless decisions every day. Why not let the universe decide for you? I built a CLI tool called "should-i" that helps you make decisions by consulting the yesno.wtf API. In this article, I'll share the implementation details and technical insights. should-i is a simple CLI tool that answers your questions with YES/NO/MAYBE. It also returns a GIF image URL, making the experience more engaging and visual. With the --open option, the tool automatically opens the response GIF in your browser: $ should-i "take a coffee break" --open 🎲 Asking the universe... ✅ YES! Do it! 🎉 🖼️ https://yesno.wtf/assets/yes/3.gif # Browser opens with the GIF automatically …  ( 12 min )

ReplicaSets ensure that the desired number of Pods is always running. If a Pod is deleted manually → ReplicaSet AUTO-CREATES a new one. # rs-nginx.yaml apiVersion: apps/v1 kind: ReplicaSet metadata: name: nginx-rs spec: replicas: 3 selector: matchLabels: app: nginx-demo template: metadata: labels: app: nginx-demo spec: containers: - name: nginx image: nginx:1.25 ports: - containerPort: 80 Apply: kubectl apply -f rs-nginx.yaml kubectl get rs kubectl get pods -o wide You should see 3 Pods with random hash-like suffixes: nginx-rs-7dd8f995f5-rkzfx nginx-rs-7dd8f995f5-pxbgl nginx-rs-7dd8f995f5-7cj2p Pick any one: kubectl delete pod nginx-rs-7dd8f995f5-rkzfx Watch Pods: kubectl get pods -w Expected behavior: Deleted Pod goes away ReplicaSet automatically creates a NEW pod Count stays at 3 always Example: pod "nginx-rs-xxx" deleted pod "nginx-rs-newxxx" created 🎉 ReplicaSet self-healing verified! ⚠️ Self-Healing Works Only If Labels Match Selector If you edit the Pod labels: kubectl label pod POD_NAME app- → ReplicaSet stops managing it Increase replicas: kubectl scale rs nginx-rs --replicas=5 Decrease: kubectl scale rs nginx-rs --replicas=2 🌟 Thanks for reading! If this post added value, a like ❤️, follow, or share would encourage me to keep creating more content. — Latchu | Senior DevOps & Cloud Engineer ☁️ AWS | GCP | ☸️ Kubernetes | 🔐 Security | ⚡ Automation 📌 Sharing hands-on guides, best practices & real-world cloud solutions  ( 7 min )

Cover Photo by Peter Olexa on Unsplash You've probably noticed it. You're watching a video on YouTube in dark mode, and the area around the video starts to softly glow, picking up the colors from the content itself. That, my friends, is "Ambient Mode." It's a subtle but powerful UI technique that makes the experience feel more immersive and integrated. It looks like a complex, big-budget feature, but what if I told you it's an effect you can add to your own projects? This isn't just a gimmick. It's a powerful way to create a more cohesive user experience. But how do they do it? And how can we do it without a massive engineering team? Let's dig in. When YouTube rolled out its redesign in October 2022, Ambient Mode was the star. According to their design team, they use "dynamic color samplin…  ( 9 min )

How to Choose the Right IaC tool ? Cloud strategy: If AWS-only → CloudFormation is very strong. If multi-cloud/hybrid → Terraform or Pulumi shine. Team skillset: If your team are software developers comfortable in Python/TypeScript → Pulumi may fit. If team are infra/devops engineers and you want a declarative DSL → Terraform. Configuration vs provisioning: If the focus is on provisioning infrastructure (network, compute, storage) → Terraform, Pulumi, CloudFormation. If focus is on configuring/making servers converge to a desired state (installing packages, OS config) → Ansible, Puppet, Chef. Ecosystem & scale: Larger enterprises may need features like drift detection, auditing, compliance controls. Tools like Puppet/Chef, or robust workflows around Terraform may matter. State & lifecycle management: E.g., Terraform’s state file, locking, remote back-ends. Understanding how updates happen, rollbacks, change sets (CloudFormation) is important. Emerging/modern patterns: Use of general-purpose languages for IaC (like Pulumi) and “infrastructure from code” (beyond just text templates) is gaining ground. Also interesting: Kubernetes-native abstractions (for container workloads) and GitOps patterns. Scenario Recommended Tool Why Multi-cloud / hybrid infra Terraform Provider-agnostic, reusable modules, strong ecosystem AWS-only environment CloudFormation Tight AWS integration, built-in drift detection Developer-driven org (Infra + App in code) Pulumi Uses familiar languages, good abstraction Config management or hybrid servers Ansible Simple agentless automation via SSH Azure-centric setup Bicep Simpler syntax over ARM templates Legacy enterprise infra Puppet / Chef Rich compliance and policy frameworks The Future of IaC The next evolution is Intelligent IaC, powered by Generative AI. Auto-generate Terraform from natural language prompts. Suggest optimal infrastructure topologies. Validate policies via LLMs. AI + IaC = Self-Healing Infrastructure !!! And we’re closer than you think.  ( 6 min )

As a developer, I wanted to create a portfolio page that showcases my skills and experience in a unique way. I decided to go with a magazine-style concept, as it looks clean and easy to read. I divided my portfolio into three views: resume, timeline, and gallery. Each view displays the same career data but in a different format. Resume Page: A clean and traditional resume-style page. Timeline: A timeline view that organizes my experience in chronological order. Gallery: A gallery view that showcases my projects in detail. Each page has a distinct feel and purpose, allowing me to highlight different aspects of my portfolio. I experimented with various hover effects and settled on a color pencil underline effect. The implementation turned out better than expected. When creating the project details page, I worried that lengthy content would deter readers. To address this, I highlighted key points with underlines, making it easy to scan and understand the project's essence. The timeline's responsive design was the most challenging aspect. Initially, the columns would overflow, and overflow-x: auto would break the position: sticky property. After a day of troubleshooting, I resolved the issue using transform: scale(), which scales the entire timeline to fit within the viewport on smaller screens. On the resume and timeline pages, clicking on a project displays a brief summary in the sidebar. This design choice prevents the project overview from disrupting the page's flow, allowing readers to expand or collapse the summary as needed. Through this project, I learned that the way data is presented significantly impacts the user experience. I will continue to experiment with different formats and designs to create engaging and effective portfolios. You can visit my portfolio page at: https://readmekym.vercel.app/  ( 7 min )

Post-Quantum TLS Readiness: a 90-Day Remediation Sprint for SMBs This is a hands-on playbook to move an SMB from “we should look at PQC” to Post-Quantum TLS Readiness in 90 days—without breaking client traffic or chasing unstable stacks. You’ll inventory crypto, pilot hybrid KEM handshakes in staging, coordinate vendors, roll out PQ-ready configs with a clean rollback, and prove success with objective metrics. Why now: Cryptographically agile systems reduce migration risk when PQC is mandated by your customers or regulators. What changes: TLS 1.3 stays; key exchange adds a hybrid KEM group (e.g., X25519+ML-KEM/Kyber). Signatures for certificates and mTLS can remain ECDSA/RSA for now. How to do it safely: Pilot hybrids in staging, measure latency/CPU, deploy behind a feature flag / canar…  ( 11 min )

This is a submission for the Agentic Postgres Challenge with Tiger Data I built an autonomous self-healing system that detects application issues, tests fixes on isolated database forks, and applies solutions automatically - eliminating the need for 3 AM pages and manual incident response. As developers, we've all been there: woken up at 3 AM because the connection pool is exhausted, or watching response times spike due to a missing index. The same issues repeat across applications, yet we manually fix them every time. I wanted to build a system that learns from these experiences and heals itself. The framework uses three intelligent agents that work together: Monitor Agent - Continuously observes application health (error rates, response times, resource usage) Healer Agent - Searches a kn…  ( 10 min )

Works seamlessly with MySQL, MariaDB, and PostgreSQL — no MongoDB required. Every Laravel developer has been there — you start a new project, define your migrations, and by default, your models use auto-incrementing IDs. It works fine... until your app grows, you need distributed systems, API integrations, or microservices. Suddenly, those integer IDs start to look like a limitation. That’s where Laravel ObjectId comes in — a drop-in, ultra-fast, globally unique identifier system inspired by MongoDB’s ObjectIds, designed for MySQL, MariaDB, and PostgreSQL — no MongoDB required. Unlike UUIDs or ULIDs, ObjectIds are compact 12-byte identifiers that encode timestamp, randomness, and a counter — making them sortable, lightweight, and unique across systems. In numeric terms, they’re up to 3× fa…  ( 8 min )

On Microsoft Windows, an application can stop responding, and closing it using the GUI might be impossible. If you have ever found yourself in such a situation, I can tell you that you can close such an application using the Windows command line utility. The following steps are how to go about it. There are several ways to do this. You can click the Start menu icon (on Windows 11) and search for Command Prompt. Or, if you want, you can open CMD by doing the following: Open the Windows Run dialog box by pressing and holding both the Windows Key and R on your keyboard. Type cmd and press the enter key on your keyboard. Note the name of the application that you'd like to forcefully shut down. Then type the following in the CMD. The successful execution of the following command will list all t…  ( 7 min )

WTF is this: Bare Metal Cloud Ah, cloud computing – the magical land where our data and apps live, and we don't have to worry about the plumbing. Or do we? Today, we're going to talk about a type of cloud that's a bit more... well, let's just say, "down-to-earth." Say hello to the Bare Metal Cloud! What is Bare Metal Cloud? In simple terms, Bare Metal Cloud is a type of cloud computing where you rent a physical server (the "bare metal") from a provider, but still get the benefits of cloud-like flexibility and scalability. Think of it like renting a house – you get the whole place to yourself, but you still have to take care of the furniture and decor (i.e., the software and apps). With Bare Metal Cloud, you have complete control over the underlying hardware, which can be a big deal for cer…  ( 11 min )

Built for Google Play Compliance: Navigating the 14-Day Testing Requirement A Comprehensive Guide for Android Developers As an Android developer, you're likely no stranger to the complexities of publishing on the Google Play Store. With each update, new policies and requirements emerge, making it increasingly challenging to meet the standards set by Google. In November 2023, a significant change was introduced: all new personal developer accounts must complete 14 consecutive days of closed testing with at least 12 active testers. This policy shift has left many developers scrambling to adapt, but fear not – we've got you covered. In an effort to ensure the quality and security of apps published on its platform, Google introduced this new requirement. The goal is to provide a m…  ( 7 min )

🔊 Listen Now 🎙️ Click here to listen on Madhu Sudhan Subedi Tech Weekly → Dynamic Method Calls in PHP Are dynamic method calls in PHP a clever shortcut or a hidden trap? Techniques like constructing method names at runtime—such as $this->{$variable}()—can add flexibility, especially in frameworks or libraries. But they come with significant downsides. IDEs struggle to trace these calls, making refactoring and code navigation harder. Methods invoked dynamically might be flagged as unused or overlooked entirely, increasing the risk of bugs and wasted debugging time. Link When Your Boss Starts Coding with LLMs: The New Shape of Team Collaboration What happens when non-engineers—like your boss or sales rep—start submitting pull requests with help from large language models? It’s not …  ( 9 min )

From TCP Sockets to Thread Pools: Building a Production-Grade C++ Web Framework Note: This is an advanced technical deep-dive into systems programming concepts. We'll explore TCP/IP networking, multithreading primitives, asynchronous request handling, and production-grade architectural patterns in C++. Introduction Architecture Overview TCP/IP Socket Programming POSIX Thread Pool Implementation HTTP Protocol Layer Routing Engine Architecture Design Patterns & Architectural Decisions Asynchronous Request Processing Flow CLI Configuration & Extensibility Conclusion Modern web servers are complex systems that orchestrate multiple OS-level concepts: socket programming, multithreading, synchronization primitives, and protocol handling. In this article, we'll dissect NanoHost, a lightweight y…  ( 15 min )

Introduction In modern web development, writing maintainable, testable, and scalable code is paramount. One design pattern that has become fundamental to achieving these goals is dependency injection (DI). Whether you're building a backend API with NestJS or a dynamic frontend with Angular, understanding dependency injection will significantly improve your code quality and development workflow. Dependency injection is more than just a buzzword—it's a powerful technique that removes hard-coded dependencies and promotes loose coupling between components. This leads to code that is easier to test, modify, and extend. In this guide, we'll explore how dependency injection works across the TypeScript ecosystem, with practical examples in TypeScript, NestJS, and Angular. Dependency Injection is…  ( 14 min )

Most folks spend ages tweaking prompts to get decent results, but with these four tricks—Prompt Reversal, 5-Minute Amplifier, Red Team Technique, and Blueprint Scaffolding—you’ll slice your ChatGPT back-and-forth in half. Jeff Su walks you through real examples to reverse-engineer killer prompts, spin one piece of content into multiple formats, force AI to critique itself, and outline its reasoning before it dives in. These hacks work across any role or industry and can be applied today. Plus, Jeff’s got extras like a free ebook, a detailed blog post, and an AI course waitlist to help you supercharge your workflow. Watch on YouTube  ( 6 min )

CinemaSins just unleashed a playful “Everything Wrong With” take on what they’re calling one of the year’s best genre movies—packed into a 15-minute roast that’s equal parts snark and spooky Halloween cheer. They’re also hyping up their whole ecosystem: hit up cinemasins.com, dive into their YouTube spin-offs (TVSins, CommercialSins, CinemaSins Podcast), join the poll or support them on Patreon, and link up on Discord, Reddit, Instagram, TikTok and more. Watch on YouTube  ( 6 min )

Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less is your classic CinemaSins deep-dive, roasting every plot hole, cringe line, and “why is that even there?” moment in Marvel’s latest—but also wondering if the flick’s secretly awesome. Beyond the sin count, you get a buffet of CinemaSins goodies—hit up their main site or Linktree for extra vids and channels (@TVSins, @CommercialSins, @CinemaSinsPodcastNetwork), join the Discord and Reddit communities, fill out their sinful poll, or support the squad on Patreon. Don’t forget to follow the sin-smiths (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) on Twitter and Insta for your daily nitpick fix! Watch on YouTube  ( 6 min )

Let’s dive into the best no-code app builders for startups in 2025. Please note: This content utilizes AI writing technology and may include businesses I'm affiliated with. I spent more than 60 hours testing top no-code tools, aiming to discover which platforms genuinely help startups launch and iterate apps with zero coding needed. This guide reflects direct experience, practical evaluation, and side-by-side comparisons, so you get honest feedback with no hype. With about five years in SaaS and mobile product development, I’ve worked with or reviewed nearly every major no-code and low-code builder. I’ve experienced the truly seamless, the underwhelming, and everything in between. This is a guide for startup founders who want a clear path to the tools that will support-not slow down-their …  ( 14 min )

From Vibe Coder to Vibe Architect — Evolving from Implementation to Strategy “The journey from Vibe Coder to Vibe Architect is not just about technical growth — it’s about elevating your influence and ensuring that not only do individual features feel right, but that the entire system is built right.” In today’s development world, many talented front-end and creative developers possess a unique “vibe” — a sensitivity to aesthetics, emotion, and user experience that guides how they build. These developers are what we call Vibe Coders. A Vibe Coder works primarily on intuition and feedback loops: Driven by aesthetic sensibility and emotional resonance Motivated by immediate visual feedback Deeply focused on how things feel, not just how they work Typical domains include: Fro…  ( 8 min )

This wasn’t a quick weekend project. It’s been a long, challenging, and insanely rewarding journey turning an idea into a real, production-level SaaS product. Pulse HMS is designed to make hospital and clinic workflows smarter, faster, and more human-centered. I wanted to create something that goes beyond just managing patients and appointments — something that feels like a real system used by actual staff and patients. Here’s a glimpse of what’s inside 👇 🩺 Core Features Smart Appointment System with real-time status tracking QR Code Check-ins for patients Detailed Patient Records, History & Reports AI-based “What’s Changed?” summaries for doctors Instant Mini Reports generated with AI templates Offline Booking Cache (works even if internet drops) Print Mode with brand-aligned clean layouts Fake Data Mode for demos & staff training Role-based Access (Admin, Doctor, Receptionist, Patient) Mobile-first Patient View + Desktop Admin Panel 💻 Tech Stack 💡 Why I Built It ⚙️ What’s Next Integrating AI-powered analytics Enhancing the patient-facing dashboard Deploying a live demo for hospitals and clinics Adding support for multilingual and local regions This project pushed my limits as a developer — from UI/UX decisions to backend performance, it’s been pure learning and growth. Excited to share more updates and a full walkthrough soon! BuildInPublic #PulseHMS #SaaS #Nextjs #Python #HealthcareTech #FullStack #DeveloperJourney  ( 7 min )

This is a submission for Frontend Challenge - Halloween Edition, Perfect Landing Hey everyone! I’m excited to share my project - GhoulEats, a spooky and interactive restaurant website built with React, Vite, Tailwind, React router and Framer Motion. This project is special to me because it pushed me to explore motion design, creative theming, and UI storytelling all in a short span of a few days. I started around November 6th, and from then till November 9th, I poured everything I had into bringing this haunted concept to life. GhoulEats is a Halloween-themed restaurant website that blends creativity, design, and interactivity. It’s not just about pages it’s an entire spooky dining experience built for the web. Each page has its own eerie charm from creepy AI-generated chefs to animated me…  ( 7 min )

You will learn: ✔ Create a Secret (base64-encoded data) You can create a Secret from CLI or YAML. First encode values in base64: echo -n "admin" | base64 → YWRtaW4= echo -n "SuperSecretPassword123" | base64 → U3VwZXJTZWNyZXRQYXNzd29yZDEyMw== apiVersion: v1 kind: Secret metadata: name: demo-secret type: Opaque data: username: YWRtaW4= password: U3VwZXJTZWNyZXRQYXNzd29yZDEyMw== Apply it: kubectl apply -f secret.yaml Verify: kubectl get secret demo-secret -o yaml You will see base64 strings — this is normal. Create pod-secret-env.yaml: apiVersion: v1 kind: Pod metadata: name: secret-env-demo spec: containers: - name: demo-container image: busybox command: ["sh", "-c", "sleep 3600"] env: - name: DB_USERNAME valueFrom: secretK…  ( 7 min )

Introduction Ever needed powerful search capabilities in your application but dreaded the complexity of managing Elasticsearch or OpenSearch? You're not alone. While these dedicated search engines are powerful, they introduce significant operational overhead: another cluster to deploy, ETL pipelines to maintain, and constant synchronization headaches. What if you could get search engine capabilities directly inside PostgreSQL? That's exactly what pg_search offers. In this post, I'll walk you through what pg_search is, why it can't run on Amazon RDS, and how we architected a solution using EC2 that keeps everything in PostgreSQL while delivering modern search features. pg_search is a PostgreSQL extension from ParadeDB that transforms your database into a full-featured search engine. Inste…  ( 11 min )

How AI Doctors Get Smarter with Rubric Training Ever wondered how a chatbot could give you reliable medical advice? Scientists have created a new teaching method called ORBIT that helps AI learn like a medical student using simple scorecards. Rubric‑guided learning shows that even complex, open‑ended tasks can be mastered with the right feedback, opening the door to smarter, more trustworthy AI companions. Exciting times ahead for AI in medicine. Read article comprehensive review in Paperium.net: InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-BasedIncremental Training 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 22 min )

As a solo developer, my biggest challenge isn't coding—it's efficiency. Every hour I spend fighting tooling or boilerplate is an hour I’m not spending on features. Let me be clear: I embrace Go (Golang). It is an outstanding language for raw performance, systems programming, and concurrent processing. 😩 The Go Conundrum: Too Much Boilerplate, Not Enough Structure The Code Organization Headache This was my biggest source of friction. In a large Go application, there’s no official, standard framework to guide structure. I spent countless hours trying to define the “best” way to organize my code, shuffling directories, and debating architecture patterns. The result? A codebase that, while technically correct, felt arbitrary and lacked immediate clarity. Onboarding even myself after a few wee…  ( 7 min )

This is one of the most important Kubernetes basics, used in real microservices deployments. You will learn: ✔ Create a ConfigMap Create app-config.yaml: apiVersion: v1 kind: ConfigMap metadata: name: demo-config data: APP_ENV: "development" APP_VERSION: "1.0.0" WELCOME_MESSAGE: "Hello from ConfigMap!" Apply it: kubectl apply -f app-config.yaml Check it: kubectl get configmaps demo-config -o yaml Create pod-configmap-demo.yaml: apiVersion: v1 kind: Pod metadata: name: configmap-demo-pod spec: containers: - name: demo-container image: busybox command: ["sh", "-c", "sleep 3600"] env: - name: ENVIRONMENT valueFrom: configMapKeyRef: name: demo-config key: APP_ENV - name: VERSION v…  ( 7 min )

Let’s skip the polite throat-clearing. Your “AI platform” is a vending machine that hands out root on layaway. Agents hoard long-lived API keys, plugins ship with mystery meat, and every “secure” gateway rubber-stamps bearer tokens like it’s still 2011. Then you’re shocked when a prompt tells your agent to exfiltrate S3. Adorable. You don’t need another dreamy “AI safety” framework. You need a bouncer with a working flashlight. Check IDs and the bag. That’s it. That’s the post. Tool creds living forever in agent memory, logs, and “debug mode.” Prompt injection turns “helpful assistant” into “unpaid red team.” Multi-agent graphs swapping capabilities like baseball cards. Revocation that’s a Slack message and a prayer. Transport TLS solves exactly none of that. It’s a pipe. Great pipe. Wrong…  ( 9 min )

-Check package.json, identify dependencies, scripts, and entry points -Review tsconfig.json: Learn about compiler settings, path aliases, -Understand folder structure: like src/ components/ utils/ hooks/ -Read test cases like tests/ or tests : these contain unit and -Trace the flow.Looks for index.ts file, they often serve as entry points. -Follow imports to understand how modules connect. -Explore interface and types which are often used. -Use UNKNOWN instead of any for safer type handling. -Run tests locally to observe how modules interact. -Use SOURCEGRAPH or CodeTour to visualize codebases. -After understanding , teach the codebase to someone. -Draw a sketch or diagram if possible.  ( 6 min )

Overview What is Synthetic Data? Why Use Synthetic Data? Translate a dataset from one language to another language can be a good choice Generating more time series data points following observed patterns Example Prompt Refer to FEATURES.md for the fields to include: date, open, high, low, close, adjusted close, and volume. Folder Structure synthetic-data/ Support a range of dataset sizes and feature counts scripts/generate_datasets.py Parameters Makefile targets FEATURES.md Example Synthetic Data Features Feature Name Description Data Type Example Values Date Date of the stock price record Date 2015-03-31 Open Opening price of the stock Float 0.555 High Highest price of the stock Float 0.595 Low Lowest price of the stock Float 0.53 Close Closing price of the stock Float 0.565 Adj Close Adjusted closing price of the stock Float 0.565 Volume Trading volume of the stock Integer 4816294 Sample data Date,Open,High,Low,Close,Adj Close,Volume 2015-03-31,0.555,0.595,0.53,0.565,0.565,4816294 2015-04-01,0.575,0.58,0.555,0.565,0.565,4376660 2015-04-02,0.56,0.565,0.535,0.555,0.555,2779640 Final Notes R is a strong alternative to Python for synthetic data generation Combine with LLMs to create more context-aware synthetic data is a promising direction, tailor your prompts faker can be replaced by using LLM API calls to generate more realistic and diverse synthetic data samples.  ( 9 min )

1. Create two EC2 by using User-Data-Amazon-Linux Script Launch Two EC2 with Two Availability Zone I will left information about vpc,subnet[public],security. Please configure with yours. Attach IAM Instance role by using CloudWatchAgentServerPolicy Add User Data and Click Launch Instance Wait until 2/2 checks passed Click Load Balancer Click Create load balancers Click Create of Application Load Balance Write Load balancer name Choose your vpc, select public subnet which route to IGW, security group Click Create target group Write Target group name and Click Next Choose both EC2 and Click Include as pending below Click Create Target Group Choose LabTG Click Create load balancer Reload these links in browser a few times Add /admin.php…  ( 7 min )

Check go.mod and go.sum. These files contain dependecies and module version Understand the folder structure. Understand common directories like Trace execution flow: start from main.go and then follow initialisatio Read tests like _test.go Use tools like sourcegraph to visualize dependencies.  ( 6 min )

Curious about how to give your clothing brand’s product images that professional, studio-quality look without the endless costs and headaches of traditional photoshoots? AI model photography services are changing how fashion brands present their products online. Disclosure: This article features AI-generated elements and may include companies I have connections to. I've spent more than 60 hours trying out the top AI model photography services for apparel brands, putting each one through real-world tests to see which platforms offer real value. My goal is to help you choose the right solution for your needs - no hype, just honest insights. After working in fashion tech and digital imaging for over five years, partnering with lots of brands big and small, I know what makes a photography tool…  ( 14 min )

Built for Google Play Compliance: Meeting the 14-Day Testing Requirement =============== As an Android developer, you're well aware of the challenges that come with publishing your app on the Google Play Store. With the recent policy change requiring all new personal developer accounts to complete 14 consecutive days of closed testing with at least 12 active testers, many developers are struggling to meet this requirement. Closed testing is a crucial step in ensuring that your app is stable and functional before releasing it to the public. However, manually managing tester recruitment, tracking daily engagement, and verifying compliance can be time-consuming and tedious. Moreover, it's easy to lose track of progress or fall short of the required 12 testers. App Testers Hub is specificall…  ( 8 min )

Emily King’s Tiny Desk Concert dazzles with her signature silky voice and a crack band that layers dreamy harmonies onto gut-wrenching break-up songs like “Georgia” and “Down.” Between tracks, her infectious excitement and playful banter—especially with longtime collaborator Jeremy Most—transform heartbreak into something like “getting hugged by a rose petal.” She admits many of her tunes, from the New Year’s empowerment anthem “This Year” to the celebratory “Special Occasion,” were written to boost her own mood when she’s down. With a concise set list (“Distance” through “Special Occasion”) and a stellar crew of musicians and producers, this Tiny Desk feels like the ultimate shared joyride. Watch on YouTube  ( 6 min )

Ephemeral containers let you attach a temporary debug container to a running Pod without restarting it. Create file nginx-ephemeral.yaml: apiVersion: v1 kind: Pod metadata: name: nginx-ephemeral labels: app: nginx-ephemeral spec: containers: - name: nginx image: nginx:latest ports: - containerPort: 80 Apply it: kubectl apply -f nginx-ephemeral.yaml kubectl get pods -o wide Expected: nginx-ephemeral 1/1 Running 0 10s Wait until ready (recommended): kubectl wait --for=condition=Ready pod/nginx-ephemeral --timeout=60s Use a debug image with complete tools (e.g., busybox, ubuntu, distroless, nicolaka/netshoot). Best option for debugging network and DNS: kubectl debug -it nginx-ephemeral --image=nicolaka/netshoot --target=nginx This creates a tem…  ( 7 min )

The Silent Killer of Your SaaS Growth It was 3:17 PM on a Tuesday when the first cancellation email hit. Then another. And another. By Friday, you'd lost 12 customers worth €24,000 in annual recurring revenue. The trigger? A competitor launched their long-awaited AI forecasting module - and your sales team didn't even know it existed until customers started asking for it. Three weeks later, your churn rate jumped 18%. Your engineering team is now scrambling to build a comparable feature while your support team fields angry calls about "falling behind." All because you missed one product update on a competitor's blog. Last month, I helped a B2B analytics SaaS company recover from nearly €60,000 in lost deals after they missed a competitor's pricing page redesign. The competitor had quiet…  ( 8 min )

Hello, Dev Community! I'm excited to finally pull back the curtain on my latest side project: Coz.jp, a new link shortening service. While "yet another link shortener" might sound simple, the goal here was to build something fast, reliable, and deeply integrated, all while using a modern and scalable tech stack. I want to share a little bit about what it does and the architecture I chose. Why I Built It As a developer, I've always needed a link shortener that gives me full control after the link is created. That's what Coz.jp is all about: fast creation, but also the ability to go back and fix errors by editing the target URL, or deleting the link entirely. It focuses on: Fast and Reliable URL Shortening: Speed is non-negotiable for link redirects. Complete Link Management: Easily fix mis…  ( 7 min )

4 ChatGPT Hacks that Cut My Workload in Half This video walks you through four killer techniques—Prompt Reversal, the 5-Minute Amplifier, the Red Team Technique, and Blueprint Scaffolding—that will slash your AI workflow time in half. Each hack shows you how to reverse-engineer great prompts, spin one piece of content into multiple formats, have ChatGPT rigorously critique its own work, and force it to lay out its reasoning step by step before execution. These methods are packed with real-world examples you can apply right away, no matter your role or industry. They’ll stop you from endlessly refining prompts and get you faster, more reliable results—every single time. Watch on YouTube  ( 6 min )

TL;DR CinemaSins just unleashed “Everything Wrong With Sinners In 15 Minutes Or Less,” a tongue-in-cheek Halloween-themed roast of one of the year’s best genre flicks. They promise all the signature “sins,” plus links to their site, socials, Patreon and a tiny poll to get your feedback. Alongside the video promo they drop links to Discord, Reddit, TikTok and more—you’ll even find a shout-out to their writer squad (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel). Whether you’re here for movie roasting or community vibes, they’ve got you covered. Watch on YouTube  ( 6 min )

Why Chatbots Get Better When We Count Words, Not Just Rules Ever wondered why a chatbot sometimes sounds just like a friend? Scientists have discovered that the secret isn’t hidden grammar trees but simple word‑frequency patterns. Applying this idea to modern language models means we can build smarter, more natural‑talking AI by focusing on the everyday words people actually use. This breakthrough helps us design, test, and understand AI chatters in a way that feels more human and less mysterious. Read article comprehensive review in Paperium.net: Language Models Model Language 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 22 min )

TL;DR CinemaSins just dropped “Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less,” where they gleefully rip into every plot hole, cringe-worthy moment and cheeky Easter egg in the latest Marvel mash-up. Amid the snark, they even wonder if the movie might secretly be pretty great—spoiler: they’ll let you decide. On the side, they’re shilling all their usual stuff: polls, Patreon, Twitch, Reddit, Discord and a whole squad of social-media handles, plus writer shout-outs to Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel. If you love nitpicking blockbuster flicks, this is your vibe. Watch on YouTube  ( 6 min )

Predators – Caravan of Garbage Predators (2010) takes the franchise back to its roots after the 1990 sequel and two Alien vs. Predator flops, dropping a rag-tag band of lunatics into a muddy jungle showdown. Mr Sunday Movies applauds its fresh twists and tight, back-to-basics action—so good that fans still lament the lack of a direct follow-up. This Caravan of Garbage review is brought to you by Mr Sunday Movies. For bonus content, podcasts, merch and more, check out bigsandwich.co and follow their socials! Watch on YouTube  ( 6 min )

I built PolicyPal for the Google Cloud Run Hackathon, an AI-powered assistant that helps users understand their health insurance coverage using Google Cloud Run, Gemini (AI Studio), Cloud Functions, and Google Sheets. In this post, I’ll briefly explain how I built it, what I learned, and how Cloud Run helped me deploy a fully serverless, scalable solution. AI Layer: Google Gemini (via AI Studio) I used Google AI Studio to vibe-code and design the conversational logic, defining custom schemas, checkCoverage and listCoveredProcedures, that guide Gemini to access real structured data. These schemas help Gemini know where to fetch data and how to format its responses. Essentially, Gemini calls my backend through these definitions to get real plan data. Backend: Python on Google Cloud Functions…  ( 8 min )

1. Create an S3 bucket Click Create bucket Set Bucket Name as Unique Name Click Create bucket Click Upload Click Add files Choose Your File and Click Upload Click Test.txt Check at Storage class Click Your bucket name Click Managment and Create lifecycle rule Write lifecycyle-rule at Lifecycle rule name Select Apply to all objects in the bucket Click I acknowledge that this rule will apply to all objects in the bucket. Select Lifecycle rule actionslike this and choose Choose storage class transitionsand write Days after object creation at Transition current versions of objects between storage classes Write days at Days after object creation and Permanently delete noncurrent versions of objects Click Create rule That it is. Congratulations, you have completed Lab-How To Create an Object Lifecycle Policy for Amazon S3 Repository: AWS Learning Labs  ( 6 min )

Introduction Large Language Models (LLMs) have transformed how we interact with AI, but running them efficiently remains a significant challenge. The computational demands of generating resp This article explores three critical technologies that enable efficient LLM inference: C++ for high-performance execution, ONNX for model portability, and llama.cpp for optimized local deployment. Together, these tools help developers bridge the gap between powerful AI models and practical, real-world applications. When deploying LLMs, inference performance directly impacts: User Experience: Lower latency means faster responses Cost Efficiency: Better performance = fewer computational resources Accessibility: Efficient inference enables edge and mobile deployment Scalability: Optimized models can se…  ( 8 min )

AI coding assistants are everywhere—but trust is not. We’ve all seen it: Invented npm/PyPI packages that don’t exist. Confident code that ignores your architecture. “TODO: implement later” mocks accidentally shipped to production. Long context windows wasted because the model never actually reads your repo. SCAR fixes this. SCAR (Specification for Code Assistant Reliability) is a high-trust operating system for AI coding assistants. It’s an open specification powered by a single prompt.yaml that turns generic models into governed, senior-level engineering copilots. Get SCAR: https://github.com/redmoon0x/scar-spec.git What SCAR Solves Package hallucination Enforces strict package verification rules. No suggesting libraries that don’t exist. Encourages verified, documented, actively maintain…  ( 7 min )

In the rapidly evolving landscape of AI agents and autonomous systems, enabling seamless communication between different agents has become crucial. The Agent-to-Agent (A2A) protocol provides a standardized way for AI agents to interact, exchange messages, and coordinate tasks. In this article, I'll walk you through our implementation of an A2A gateway built on AWS serverless architecture. Agent-to-Agent communication is a protocol that allows different AI agents to interact with each other in a standardized way. Think of it as an API contract specifically designed for agent interactions. Rather than having agents communicate through proprietary interfaces, A2A provides: Standardized message formats using JSON-RPC Task lifecycle management (submit, track, cancel) Context preservation across…  ( 10 min )

This one will show how multiple containers in a single Pod can share data and work together, just like microservices collaborating closely inside one unit. Create a multi-container Pod with: One main container running NGINX One sidecar container that tails NGINX access logs and prints them to its own stdout (mimicking a log forwarder) This demonstrates the Sidecar Pattern — where an auxiliary container extends or supports the main container’s function. Create a file named nginx-sidecar-pod.yaml apiVersion: v1 kind: Pod metadata: name: nginx-sidecar-pod labels: app: nginx-sidecar spec: containers: - name: nginx image: nginx:latest ports: - containerPort: 80 volumeMounts: - name: shared-logs mountPath: /var/log/nginx - name: sidecar-logger im…  ( 7 min )

Google released Veo 3.1 with new features and one of them is using the first and last frames to interpolate a video. When leveraging the image generation of Gemini 2.5 Flash Image model (a.k.a Nano Banana), Veo 3.1 model can use the first and last images to generate a short video. This interpolation feature is specifically enabled by the lastFrame parameter, a capability exclusive to the latest Veo 3.1 model. This blog post describes how I used Gemini 2.5 Flash Image model to implement a visual story feature to create a sequence of images. Then, Veo 3.1 uses the first and last images to create the dynamic content of a video. This feature exists in Veo 3.1 only, so the application should not call it when Veo 2 or Veo 3 is used. I added a new environment variable, IS_VEO31_USED, to indicat…  ( 9 min )

Introduction In modern software development, API testing frameworks play a crucial role in ensuring that communication between services is reliable, consistent, and secure. APIs (Application Programming Interfaces) are the backbone of microservices architectures, and their stability directly affects the performance of entire systems. Frameworks such as RestAssured, Postman/Newman, and Karate allow developers to automate API testing and integrate it into Continuous Integration (CI/CD) pipelines. This article focuses on the application of RestAssured in Java for efficient API testing automation. Why Use an API Testing Framework? Manually testing APIs through tools like Postman is suitable for initial exploration, but for large-scale systems, automated frameworks provide significant advan…  ( 7 min )

Effortless observability for your Go applications — without the boilerplate. As Go developers, we all want observability — to know how our APIs perform, how many requests we handle, and how our systems behave in production. Prometheus is fantastic for that — but setting up metrics in Go can quickly turn verbose: counter := prometheus.NewCounterVec( prometheus.CounterOpts{Name: "http_requests_total", Help: "Total HTTP requests"}, []string{"path", "method", "status"}, ) prometheus.MustRegister(counter) And soon your code fills with boilerplate. That’s why I built prometric-go — a lightweight, idiomatic helper library that makes exposing Prometheus metrics in Go as simple as possible. prometric-go is a minimal Go library that wraps Prometheus client_golang and provides ready-to-use m…  ( 8 min )

GitHub - sumeetghimire/Laravel-AI-Orchestrator Contribute to sumeetghimire/Laravel-AI-Orchestrator development by creating an account on GitHub. github.com  ( 6 min )

Delegar con Seguridad: El flujo inicial en AWS IAM En este diagrama no es solo un conjunto de pasos técnicos. Es el reflejo de cómo se empieza bien en AWS: con intención, con seguridad, y cumplir las buenas prácticas. Todo parte del usuario Root, el acceso Maestro que no se debe usar para el día a día. Lo protegemos con MFA porque sabemos que es el punto más sensible. delegamos. Creamos un usuario llamado IAM-Administrator, que será quien realmente gestione el entorno. Separado del Root, con privilegios bien definidos, y también con **MFA **activado. Porque incluso los usuarios con más acceso deben operar bajo doble verificación. Este diagrama representa una decisión consciente: No es solo conectar, sino delegar con confianza, proteger nuestra cuenta y auditar con claridad. Así empieza u…  ( 8 min )

Taking on a new challenge: solving GeeksforGeeks POTD daily and sharing my solutions! 💻🔥 Problem: https://www.geeksforgeeks.org/problems/chocolate-pickup-ii/1 Chocolate Pickup II Difficulty: Hard Accuracy: 71.31% You are given a square matrix mat[][] of size n × n, where each cell represents either a blocked cell or a cell containing some chocolates. If mat[i][j] equals -1, then the cell is blocked and cannot be visited. Otherwise, mat[i][j] represents the number of chocolates present in that cell. One of the optimal paths is to move from (0,0) -> (1,0) -> (2,0) -> (2,1) -> (2,2) while going forward, and then from (2,2) -> (2,1) -> (1,1) -> (0,1) -> (0,0) while coming back. The total number of chocolates collected is 7. One of the optimal paths is to move from (0,0) -> (1,0) -> (2,0) -> (2,1) -> (2,2) while going forward, and then from (2,2) -> (1,2) -> (1,1) -> (0,1) -> (0,0) while coming back. The total number of chocolates collected is 7. It is impossible to reach the bottom-right cell (2,2) from (0,0) because every route is blocked. Since the destination cannot be reached, the total chocolates collected is 0. Solution: class Solution: @lru_cache(None) def solve(r1, c1, r2, c2): if r1 >= n or c1 >= n or r2 >= n or c2 >= n: return float('-inf') if mat[r1][c1] == -1 or mat[r2][c2] == -1: return float('-inf') if r1 == c1 == n - 1: return mat[r1][c1] if r2 == c2 == n - 1: return mat[r2][c2] res = 0 if r1 == r2 and c1 == c2: res += mat[r1][c1] else: res += mat[r1][c1] + mat[r2][c2] next_val = max( solve(r1 + 1, c1, r2 + 1, c2), solve(r1, c1 + 1, r2, c2 + 1), solve(r1 + 1, c1, r2, c2 + 1), solve(r1, c1 + 1, r2 + 1, c2) ) res += next_val return res ans = solve(0, 0, 0, 0) return max(0, ans)  ( 7 min )

4 ChatGPT Hacks That Cut Your Workload in Half Jeff Su walks you through four game-changing techniques—Prompt Reversal, 5-Minute Amplifier, Red Teaming and Blueprint Scaffolding—that can slice your AI workflow time in half. Each trick comes with real-world examples you can copy and paste, so you spend less time tweaking prompts and more time getting stellar results across any role or industry. Whether you want to reverse-engineer your best prompts, turn one idea into blog posts, social media blurbs or emails, have AI critique its own work, or force it to outline its logic before diving in, these hacks will level up your productivity instantly. Watch on YouTube  ( 6 min )

Everything Wrong With Sinners In 15 Minutes Or Less takes a playful stab at what they call one of the best genre films ever, roasting every tiny plot hole and quirk in true CinemaSins fashion. Despite the jokes, they admit the movie “rules” and promise a fun, Halloween-ready rundown in just quarter of an hour. Alongside the video they plug their website, socials (YouTube channels @TVSins, @commercialsins, @cinemasinspodcastnetwork), a fan poll, Patreon, Discord, Reddit, TikTok and Instagram. Writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel all get shout-outs—plus a link to Jeremy’s book for the extra sin-ning fix. Watch on YouTube  ( 6 min )

Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less takes CinemaSins’ classic “sin-count” approach to Marvel’s latest team-up flick, ripping on plot holes, character quirks and pacing—yet still half-wonders if the movie’s secretly a blast. Along the way you’ll get plugs for their main site and YouTube channels (TVSins, CommercialSins, the podcast network), plus invites to join their Discord, Reddit, TikTok and Instagram, fill out a poll or back them on Patreon. The credits shout out writers Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel with all their socials for extra movie-nerd banter. Watch on YouTube  ( 6 min )

Predators – Caravan of Garbage Review Mr Sunday Movies celebrates 2010’s Predators for ditching the Alien VS Predator fluff and going back to basics: a rag-tag bunch of lunatics dropped into a jungle for a gritty, muddy showdown with new twists that actually elevate the franchise. It’s a fan-fave sequel that finally felt fresh—so of course we never got a follow-up! This review is part of the “Caravan of Garbage” series, where James and Maso dig into cult classics while plugging all their bonus podcasts, early-access vids, merch and more. If you’re hungry for detailed banter (and merch links), you know where to look. Watch on YouTube  ( 6 min )

Don’t Build Your Castle on Rented Land — A Practical Guide to Mirrors, Backups, and a One-Hour DR Playbook Imagine waking up and your primary platform is gone for a week. If your startup’s lifeline is its code and cloud, depending on any single vendor is like building a castle on rented land: great location, zero ownership. This guide shows how to Modern software is built on incredible infrastructure — but convenience hides dependency. Big clouds do fail. In October 2025, an Amazon DNS outage broke vast swathes of the internet, taking down banking, ecommerce, and communication platforms. TechCrunch called it “a reminder that even the cloud has a single point of failure.” 👉 TechCrunch: Amazon DNS outage breaks much of the internet (Oct 21 2025) Catastrophic deletions happen. In 2025…  ( 9 min )

You've been told the three pillars of observability, logs, metrics, and traces, are the answer. But stitching together separate, best-of-breed tools has likely left you with data silos, slow queries, and a constant battle against rising infrastructure costs. During an incident, you're not debugging. Instead, you're manually correlating timestamps across three different UIs. This isn't a sustainable strategy. The most effective and cost-efficient observability solution for 2025 isn't a collection of disparate tools. It's a unified, open-source stack built on a powerful data engine. This guide provides the architectural blueprints to help you understand why this shift is happening and how to build your stack the right way. The "three pillars" (logs, metrics, traces) are just data types, not …  ( 18 min )

With the rise of mobile gaming, making sure that your HTML5 adventure games are optimized for mobile and cross-device play is crucial. Adventure games, with their intricate puzzles, deep narratives, and interactive gameplay, require seamless performance across a range of devices—from desktops to tablets to smartphones. In this article, we’ll cover key strategies for ensuring that your HTML5 adventure game performs optimally on mobile devices and works smoothly across various screen sizes. This includes tips for improving load times, responsive design, touch controls, and battery efficiency. Responsive design is essential when creating games that can be played across different devices. The game interface should adjust to fit any screen size, ensuring that gameplay remains intuitive and acce…  ( 8 min )

Adventure games have been a staple of interactive storytelling for decades. Whether you’re guiding a hero through ancient ruins or solving intricate puzzles, the adventure genre provides endless creative possibilities. Thanks to HTML5, building an adventure game has never been easier, and you can create fully playable, interactive experiences right in your browser. In this tutorial, we’ll guide you step-by-step through the process of creating a simple HTML5 adventure game using JavaScript and the Canvas API. By the end, you’ll have the foundation for a browser-based adventure game that you can expand upon and share with others. Start by creating a basic HTML file with a element to draw your game world. This is where all the magic happens. …  ( 8 min )

2169. Count Operations to Obtain Zero Difficulty: Easy Topics: Math, Simulation, Weekly Contest 280 You are given two non-negative integers num1 and num2. In one operation, if num1 >= num2, you must subtract num2 from num1, otherwise subtract num1 from num2. For example, if num1 = 5 and num2 = 4, subtract num2 from num1, thus obtaining num1 = 1 and num2 = 4. However, if num1 = 4 and num2 = 5, after one operation, num1 = 4 and num2 = 1. Return the number of operations required to make either num1 = 0 or num2 = 0. Example 1: Input: num1 = 2, num2 = 3 Output: 3 Explanation: Operation 1: num1 = 2, num2 = 3. Since num1 num2, we subtract num2 from num1. Operation 3: num1 = 1, nu…  ( 37 min )

Modern LCDs are used far beyond consumer electronics. They appear in factory automation panels, medical equipment, outdoor kiosks, and automotive dashboards — environments where light, dust, oils, scratches, and UV exposure can quickly degrade visibility and usability. To keep displays readable and durable, engineers rely on surface treatments. These thin but essential layers determine how the screen behaves in real-world conditions. This guide explains the four most important LCD surface treatments used today: Anti-Glare (AG), Anti-Reflective (AR), Anti-Fingerprint (AF), and Anti-UV protection. Even the best LCD panel can suffer if the outermost surface doesn’t handle ambient conditions properly. Surface treatments help: Improve readability under strong lighting Increase contrast and clar…  ( 8 min )

Smart AI That Knows When to Think, Use Tools, or Just Answer Ever wondered why some chatbots over‑think while others keep asking for extra help? Scientists have created a new kind of AI that can decide on the spot whether to solve a problem by itself, call a handy tool, or simply give a quick answer. This breakthrough means smarter virtual helpers that feel more natural and affordable, whether they’re helping you plan a trip, solve a math puzzle, or find a fact online. It’s a glimpse of a future where AI works like a versatile teammate, always picking the simplest path to get you the answer you need. Read article comprehensive review in Paperium.net: A^2FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 22 min )

Advertising is Evolving: Here’s Where It’s Heading in the AI Era The world of advertising is shifting beneath our feet. As AI applications proliferate, developers face a growing challenge: How can you monetize your innovative ideas without compromising user experience? Enter MonetZly — the first dual-earning platform designed specifically for AI conversations. It’s not just about making money; it’s about creating a sustainable ecosystem where developers, advertisers, and users all thrive. Imagine a platform where your AI app not only serves users with intelligent interactions but also generates revenue seamlessly. With MonetZly, you can achieve that through conversation-native advertising. This means ads are integrated into the dialogue naturally, making them less intrusive and more rele…  ( 7 min )

How a novel data format is saving developers 30-60% on LLM token costs If you've been working with Large Language Models, you've probably noticed something: feeding data to AI isn't free. Every JSON object you pass through an API costs tokens, and those tokens add up fast. Enter TOON (Token-Oriented Object Notation), a new serialization format designed specifically to solve this problem. Let's start with a real example. Imagine you're building an app that sends employee data to an LLM for analysis: { "users": [ { "id": 1, "name": "Alice", "role": "admin", "salary": 75000 }, { "id": 2, "name": "Bob", "role": "user", "salary": 65000 }, { "id": 3, "name": "Charlie", "role": "user", "salary": 70000 } ] } This JSON snippet consumes 257 tokens. Now look at the same data in TOON:…  ( 9 min )

I began my open-source journey through WeMakeDevs’ Open Source Fest, where I contributed to https://github.com/kestra-io/plugin-kestra My contribution focused on detecting stuck schedules, identifying situations where workflows didn’t run on time. I implemented the detection logic and added unit tests to verify it. https://github.com/kestra-io/plugin-kestra/pull/63 During testing, I faced a permission limitation while pulling the Kestra EE image, which prevented me from running the test locally. When I reached out, Loïc Mathieu from the Kestra team kindly clarified that this was a known restriction for external contributors. Despite that, he and the team provided helpful feedback and support throughout the process. This experience taught me that open source is not just about writing code — it’s about collaboration, patience, and continuous learning. Grateful to WeMakeDevs for encouraging contributors like me and to the Kestra team for their guidance and kindness!  ( 6 min )

When preparing for advanced JavaScript interviews, understanding how JavaScript engines like V8 (used in Chrome and Node.js) and SpiderMonkey (used in Firefox) work internally can set you apart from average developers. These engines do more than just interpret JavaScript — they compile, optimize, and execute your code using complex architectures and Just-In-Time (JIT) compilation techniques. Let’s dive into 10 real interview questions that test your understanding of JavaScript internals, performance, and optimization strategies. Focus Area: Execution model, JIT compilation Standard Answer: interpreter executes code line-by-line, translating JavaScript directly into bytecode and running it immediately. This is fast for startup but slow for long-running applications. A JIT (Just-In-Time) com…  ( 10 min )

Meet MorphoBench: The Smart Test That Grows With AI Ever wondered how we can tell if a super‑smart computer really “thinks” like a human? Scientists have created MorphoBench, a new kind of quiz that changes its difficulty as AI gets smarter. adaptive benchmark means researchers can spot hidden gaps and push AI to reason more clearly, just like a coach fine‑tuning an athlete’s training. Why it matters is simple: smarter, more reliable AI can assist us in everything from medical advice to climate forecasts. Read article comprehensive review in Paperium.net: MorphoBench: A Benchmark with Difficulty Adaptive to Model Reasoning 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 21 min )

Hey everyone 👋 I’m excited to share that the new homepage for YINI config format↗ is now live! YINI is a modern, structured, human-friendly configuration format that tries to bring together the simplicity of INI with the flexibility of YAML. YINI was designed to make configuration files both readable for humans and consistent for machines. It takes inspiration from INI, YAML, and JSON — but simplifies the rules while still supporting modern features like: Nested sections using clear markers (^, ^^, etc.) Arrays [1, 2, 3] and objects { key: "value" } Inline and full-line comments Strict and lenient parsing modes ^ App name = "Demo" features = ["search", "dark-mode"] ^^ Server host = "0.0.0.0" port = 8080 The new site — yini-lang.org ↗ — brings everything together: 🧭 Get Started guide ⚙️ Quick Tutorial with examples 📘 Full Specification 💡 FAQ and explanations It’s built with Astro + Tailwind, and designed to be fast, clean, and accessible — the perfect home for YINI as the ecosystem continues to grow. yini-parser-typescript — the official TypeScript parser library yini-cli — a simple CLI for parsing, validating, and converting YINI files Specification — now at v1.0 RC stage, aligning parser behavior with the spec Both projects are open-source on GitHub under @YINI-lang ↗ This is still early days for YINI, and community feedback is incredibly valuable. Visit the homepage → yini-lang.org Check the parser on GitHub → yini-parser-typescript Thanks for reading — and for helping shape a cleaner, more predictable future for config files 💡 — Marko Seppänen  ( 7 min )

If you're setting up Samba shares, you’re probably aiming for something deceptively simple—“I just want to share a folder.” But like many IT pros (myself included), you’ve likely hit a moment where things almost worked… until they didn’t. That’s why this guide exists—to help you skip the guesswork, avoid trial-by-fire debugging, and set up share sections that are secure, reliable, and customized for your environment. In the last part of this series, you hardened the [global] section, laying the groundwork for a trustworthy Samba server. Now it’s time to take full control of the [share name] sections—where the real power lies. These define how each folder behaves on your network, including access control, permissions, and visibility. Step 1: Define the Shares You Need Step 2: Control Who Ca…  ( 8 min )

The JavaScript Event Loop is one of the most misunderstood yet fundamental concepts that every developer must master. It dictates how asynchronous code is executed, how promises are resolved, and how tasks are prioritized. In this article, we’ll go through 10 real interview questions with professional explanations, examples, and follow-up questions designed to test your true understanding. Key Concept: Core mechanism of asynchronous execution Model Answer: Event Loop is a mechanism that allows JavaScript to perform non-blocking operations despite being single-threaded. It continuously checks the call stack and the task queues (macrotasks and microtasks). When the call stack is empty, the event loop takes tasks from the queue and pushes them onto the stack for execution. A simplified pseudo…  ( 10 min )

Sick of endless ChatGPT prompt tweaks? Jeff Su shares four killer hacks—Prompt Reversal, 5-Minute Amplifier, Red Team Technique, and Blueprint Scaffolding—that cut your AI workflow in half. He walks you through reverse-engineering your best prompts, spinning one idea into multiple formats, having the AI critique its own output, and forcing it to map out its reasoning before diving in—complete with real-world examples and handy timestamps. Hungry for more? Snag his free ChatGPT ebook, peek at the written blog post, or join his AI and Workspace Academies. He’s also got a Notion Command Center template, a newsletter, and social channels (Instagram, LinkedIn) packed with productivity gold. Watch on YouTube  ( 6 min )

Closures are one of the most frequently tested topics in JavaScript interviews because they reveal how deeply you understand scope, memory management, and data privacy. In this article, we’ll go through 10 well-structured interview questions, each designed to test your practical understanding of closures — from simple function scope to encapsulating private data. Focus: Understanding closure fundamentals Model Answer: a function that remembers and accesses variables from its outer scope, even after that outer function has finished executing. Closures are created whenever a function is defined inside another function and the inner function references variables from the outer one. function outer() { let count = 0; return function inner() { count++; console.log(count); }; } con…  ( 10 min )

This is a submission for the Agentic Postgres Challenge with Tiger Data 🧠 What I Built MindsEye Agentic is an experimental, time-aware “cognitive event tracker” built on Agentic Postgres (Tiger Cloud). The concept stems from my broader MindsEye research at SageWorks AI, exploring how AI systems can “see” timelines — not just data. Recording time-labeled events into a hypertable Aggregating those events via time_bucket() Searching them semantically using PostgreSQL’s pg_trgm similarity Laying the foundation for future GPT-powered “Agents of Cognition” 🚀 Demo & Repository Although we couldn’t deploy the live API due to budget limits on hosting, the full system is ready and connected to Tiger Cloud — schema, routes, and data flow are complete. GitHub Repository: PEACEBINFLOW/mindseye-agenti…  ( 7 min )

Is It Worth Upgrading to React 19? React, a cornerstone library for building user interfaces, continues to evolve, aiming for greater simplicity and efficiency. With the release of React 19, discussions are swirling about whether it’s worth upgrading from React 18. This blog post will delve into the exciting updates in React 19, provide real-world examples showcasing the benefits of upgrading, discuss best practices for migrating, and outline potential pitfalls to watch for during the upgrade process. React 19 isn’t just an incremental update; it signifies a shift towards refining the developer experience by reducing complexities, allowing developers to focus on creating great applications rather than managing boilerplate code. One of the most notable changes in React 19 is the introduct…  ( 10 min )

The Prompt Layer Most Beginners Miss Jaideep Parashar ・ Nov 9 #ai #promptengineering #discuss #learning  ( 6 min )

Everyone is obsessed with “prompt tricks.” They collect templates. But after all that, their results still feel… average. Why? Most people are missing the most important layer of prompting, and it has nothing to do with AI. It has everything to do with you. The quality of your prompts can never exceed the quality of your thinking. This is the layer beginners never talk about, never learn, and never train, and it’s the reason they stay stuck in prompt mediocrity. Let’s fix that. The Invisible Layer: Your Mental Model Before You Prompt Most people jump straight into typing. They think before they prompt. Because prompting is not typing, prompting is translating thought into structured intelligence. Here’s the truth: If your thoughts are unclear, your prompt will be unclear. If your prompt is…  ( 9 min )

Stop "chatting" with your LLM. To achieve predictable results from a Large Language Model, it's necessary to stop communicating in prose and start providing executable specifications. This concept is the foundation of the 2WHAV framework, a structured way to transform a requirement into a "blueprint" that an LLM can execute, not just interpret. But even the most detailed blueprint cannot capture the complexity of the real world on the first try. The secret to moving from a "good attempt" to "robust code" is not a longer prompt. It's an engineered feedback process. Test the Process Yourself Before analyzing the theory, here is a practical experiment to run on an advanced LLM. Copy and paste the following commands step-by-step. Step 1: Load the framework context Ask the LLM (tested on G…  ( 9 min )

GitHub Enhances Open Source Security with Immutable Releases GitHub has officially launched immutable releases, a pivotal feature designed to bolster supply chain security within the open-source community. This advancement ensures that once a release is published, its associated assets and tags are permanently protected from any unauthorized modifications or tampering. Key Benefits: Enhanced Trust: Users can be confident that the software they download and integrate is exactly as intended by the developers. Integrity Preservation: Prevents malicious actors from injecting vulnerabilities into software after its release. Supply Chain Robustness: Contributes to a more secure and reliable software development lifecycle for all. This move by GitHub signifies a strong commitment to developer security and the overall health of the open-source ecosystem. It's a crucial step in building more resilient and trustworthy software. Stelixx #StelixxInsights #IdeaToImpact #AI #BuilderCommunity #OpenSourceSecurity #GitHub #DevSecOps  ( 6 min )

TelUI TelUI is a Electron-based UI framework that packages a handful of reusable front-end primitives—color utilities, typography helpers, and basic structural styles—so you can make simple desktop UI ideas with minimal setup. Bundled Electron runner (npm start) that serves index.html for instant desktop previews. Tokenized styling layers: color.css, font.css, header.css, and align.css keep presentation rules isolated and easy to remix. Micro-interaction helpers in animation.css (e.g., .hover-fade, light) for subtle hover states or accent passes. Google Fonts integration (Funnel Display) plus opt-in utility classes like .arial. Drop-in icon assets under icons/ to help illustrate loading and status states. npm init telui npm run start The app launches an 800×600 Electron window that load…  ( 7 min )

I build my first small project website. it has html and css no javascript in it yet. Its about 10 best foods and i want you to test it out and get some feedback on it. Here: https://didzispro.github.io/top10-foods/  ( 6 min )

Unlocking Cellular Secrets: Precision Alignment for Multi-Stain Bioimages \Imagine trying to assemble a jigsaw puzzle where the pieces are distorted and slightly different sizes. That's the challenge researchers face when analyzing multi-stained tissue slides. Misaligned images can obscure critical details and lead to incorrect conclusions. Until now, achieving accurate, cell-level alignment across different staining modalities has been a significant bottleneck in biomedical research. The core concept involves a multi-stage alignment process. First, a broad overview is established by recognizing major tissue structures, effectively creating a rough draft. This initial alignment is then refined at the cellular level, ensuring that individual cells and their features are precisely matched…  ( 7 min )

How We Built Ad Injection That Users Actually Appreciate In the rapidly evolving world of AI applications, developers face a daunting challenge: monetization. With the explosion of AI apps, many lack sustainable revenue models that don't disrupt user experiences. Enter Monetzly—the first dual-earning platform in the AI space that empowers developers to monetize their apps while seamlessly integrating conversation-native advertising. Imagine this: you’re using a cutting-edge AI application when suddenly, an irrelevant ad pops up, breaking your flow and diminishing your experience. We knew this couldn't be the standard. That's why we engineered a solution that not only allows developers to earn from their work but also provides value to users through contextually relevant advertisements. D…  ( 7 min )

Introduction Learn how to read attributes from a project file using a class project that works with any .NET Core project without passing the project location or project name. Dynamic copyright in _Layout page Information in an about page In the page below "Project Details" and footer are read from the project file. In _Layout.cshtml Footer Privacy In the about page (ProjectDetails) backend, read information. using Microsoft.AspNetCore.Mvc.RazorPages; using CommonLibrary.Models; using static CommonLibrary.ProjectInformation; namespace ProjectPropertiesSampleApp.Pages; publ…  ( 10 min )

Introduction If you've worked with async/await in JavaScript or TypeScript, you might have encountered a common question: Why can you return a plain value from an async function even though the return type is Promise? This is a great question that trips up many developers! Let me explain how async functions automatically handle return values. Why can you write this: const syncToServer = async (): Promise => { if (itemsToSync.length === 0) { return { success: true }; // ← Just a plain object, not a Promise! } // ... } Instead of this: const syncToServer = async (): Promise => { if (itemsToSync.length === 0) { return Promise.resolve({ success: true }); // ← Wrapped in Promise } // ... } async Functio…  ( 8 min )

Hey React developers! 👋 Are you looking for a modern, actively maintained component library for Bulma CSS? Let me introduce you to bestax-bulma (pronounced "bee-stacks"), a TypeScript-first React component library that brings the full power of Bulma v1 to your React applications. Opensource! Free as in beer🍺 Great question! While there are other Bulma React libraries out there, many haven't been updated for Bulma v1 or are no longer actively maintained. bestax-bulma fills this gap with: 🎯 Full Bulma v1 Support: Built specifically for the latest Bulma version 📊 99% Test Coverage: Every component thoroughly tested with React Testing Library 🔷 TypeScript-First: Complete type safety with comprehensive TypeScript definitions 🚀 Modern Build: Tree-shakeable ESM and CJS builds for optimal …  ( 8 min )

reset the project I tried to set AWS Amplify Gen2 on existing project with pnpm, but the error sometimes occured in the process and finally decided to reset the project. I gonna start with new project set up with npm. 1.Recreate npm Project / Project Setup npx create-next-app@latest 2.Install Amplify Backend and Frontend SDKs in the Next.js Project Root Directory npm install @aws-amplify/backend @aws-amplify/data-schema aws-amplify 3.Create Directories and Files (The commands below do not run the content. Create the folders and files manually as follows.) mkdir amplify mkdir amplify/data touch amplify/backend.ts touch amplify/data/resource.ts 4.Open the created amplify/backend.ts file and add the following content: // amplify/backend.ts import { defineBackend } from '@aws-amplify/backend…  ( 6 min )

TelUI TelUI is a Electron-based UI framework that packages a handful of reusable front-end primitives—color utilities, typography helpers, and basic structural styles—so you can prototype simple desktop UI ideas with minimal setup. Bundled Electron runner (npm start) that serves index.html for instant desktop previews. Tokenized styling layers: color.css, font.css, header.css, and align.css keep presentation rules isolated and easy to remix. Micro-interaction helpers in animation.css (e.g., .hover-fade, light) for subtle hover states or accent passes. Google Fonts integration (Funnel Display) plus opt-in utility classes like .arial. Drop-in icon assets under icons/ to help illustrate loading and status states. npm install npm run start The app launches an 800×600 Electron window that lo…  ( 7 min )

In the fast-paced world of front-end development, staying ahead of the curve with the latest tools is essential to creating stunning, user-friendly interfaces. Whether you’re a beginner or a seasoned pro, there’s always something new to explore in the ever-evolving landscape of web design and development. If you want to supercharge your UI/UX game, this blog will introduce you to 20 essential tools every front-end developer should know. From powerful frameworks like React to visual design tools like Figma, we’ll cover everything you need to build beautiful, responsive, and efficient websites. So, grab your coffee (or energy drink, no judgment here), and let’s dive in! React – The Powerhouse of Front-End Frameworks React is a must-know for any front-end developer. It’s the go-to JavaScrip…  ( 11 min )

Title: Indiana's Miraculous TD Catch: A Thrilling Comeback to Stay Undefeated Description: The No. 2 Indiana Hoosiers faced a daunting 13-point deficit in the second half against Penn State, but they refused to give up. With only minutes remaining on the clock, Indiana pulled off a miraculous touchdown catch that left Penn State stunned and secured their victory with a final score of 24-20. The comeback was a result of a combination of factors, including a strong defensive effort and a determined offensive strategy. Indiana's defense held Penn State at bay, allowing the offense to make slow but steady progress towards the end zone. As the clock ticked down, Indiana's offense became more aggressive, with quarterback Michael Penix Jr. leading the charge. He made several key passes that dis…  ( 7 min )

Welcome to The State of AI, a new collaboration between the Financial Times and MIT Technology Review. Every Monday for the next six weeks, writers from both publications will debate one aspect of the generative AI revolution reshaping global power. This week, Casey Crownhart, senior reporter for energy at MIT Technology Review and Pilita Clark, FT’s…  ( 24 min )

Bitcoin has rebounded above $103,000, lifting altcoins.  ( 32 min )

The rally comes after a broader weekly slump, with the CoinDesk 20 (CD20) index recovering from a near 15% drawdown over the week.  ( 29 min )

Despite record levels of institutional investment, most Wall Street firms are still trading off-chain, says Annabelle Huang, co-founder and chief executive officer of Altius Labs.  ( 33 min )

The CFTC's interim boss, Caroline Pham, is said to be personally guiding exchanges on launching compliant products as she also overhauls the agency.  ( 41 min )

The alleged Ponzi scheme attracted over 3,000 victims by offering guaranteed returns on contracts tied to various assets.  ( 30 min )

As crypto trading volumes collapse in South Korea, retail investors are flocking to the stock market, fueling a state-backed AI-driven rally that’s replaced altcoin mania with semiconductor fever.  ( 34 min )

Works Minister Datuk Seri Alexander Nanta Linggi announced that the open payment toll collection system utilising Automatic Number Plate Recognition (ANPR) technology has now entered the Request for Proposal (RFP) stage. He made the statement during his visit to the slope repair project on the FT006 route, Section 40.84 of Jalan Balik Pulau–Teluk Bahang, on […] The post Malaysia Advances Towards Barrier-Free Toll System With ANPR Technology appeared first on Lowyat.NET.  ( 34 min )

Leica has expanded its Reporter design series with the introduction of the new SL3 Reporter, a tougher variant of its flagship SL3 mirrorless camera. Like other models in the series, it features the distinctive dark green finish and improved durability aimed at professionals working in demanding environments. This new edition features a scratch-resistant coating and […] The post Leica SL3 Reporter Launches In Malaysia; Priced At RM38,500 appeared first on Lowyat.NET.  ( 35 min )

Bargain hunters, we are finally approaching the biggest sale date of the year. As usual, we’ll be taking a quick look at brands that announced their discounts early, and present you with a slightly more curated list. But with this being the 11.11 sale, expect there to be multiple lists for different categories. In this […] The post Here Are Some Of The Smartphone Deals For 11.11 2025 appeared first on Lowyat.NET.  ( 35 min )

It is undeniable that the iPhone Air has left quite the impression when it made its debut in September. Following its launch, there have been reports of Apple slashing production of the device, suggesting that the model would have a very short lifespan. However, it seems that the ultra thin phone might get at least […] The post Apple To Equip iPhone Air Successor With Two Rear Cameras, Says Leak appeared first on Lowyat.NET.  ( 34 min )

Companies hate to admit it, but the road to production-level AI deployment is littered with proof of concepts (PoCs) that go nowhere, or failed projects that never deliver on their goals. In certain domains, there’s little tolerance for iteration, especially in something like life sciences, when the AI application is facilitating new treatments to markets or diagnosing diseases. Even slightly inaccurate analyses and assumptions early on can create sizable downstream drift in ways that can be concerning. In analyzing dozens of AI PoCs that sailed on through to full production use — or didn’t — six common pitfalls emerge. Interestingly, it’s not usually the quality of the technology but misaligned goals, poor planning or unrealistic expectations that caused failure. Here’s a summary of what…

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Where I came from I've started out as a PHP developer, using Zend Framework for a large part of my career. Quite a few years ago my projects started shifting to NodeJS, starting with ExpressJS like many others. I very quickly switched from raw JavaScript to TypeScript due to the improved DX experience and type safety. With that switch I also looked for a framework back then which not only supported TypeScript better, but also had proper support for async-await. This made me land on Koa at the time. I did end up using Koa for many years to come and was happy with it. I did never stand completely still though and was always looking if there's something out there which would offer me better DX. I came across Fastify, Hono, Hapi, and others, but I did not really like any of their architectur…  ( 8 min )

Hey devs! I just shipped v0.2.1 of RangeLink, a VS Code/Cursor extension that fixes something that's been driving me (and probably you) crazy. I use Claude Code running in a terminal inside Cursor daily. And the constant copy-pasting between terminal and editor? Exhausting. One day, after the hundredth copy-paste, I got frustrated and just tried something: I sent Claude a link like src/path/file.rb#L42C10-L58C25 pointing to a specific code snippet. It just worked. No explanation needed. Claude understood immediately. That was the lightbulb moment: precise code references should be universal. Not just for AI assistants, but for code reviews, documentation, team collaboration — anywhere developers share code. Create precise code references in one keystroke. Select some code in VS Code/Cursor…  ( 7 min )

The task is to implement flattenThunk to chain functions together. The boilerplate code function flattenThunk(thunk) { // your code here } A thunk is a function that takes a callback. Thunks can nest, which means the callback can return another thunk. The goal of the flattenThunk is to chain and flatten these nested thunks so they behave like one flat thunk. The function returns a new thunk. If an error occurs at any level, it stops and passes the error up. return function (callback) { function handle(err, result) { if(err) return callback(err) } } When the function is called, it passes a recursive helper as the callback. Each time a thunk returns another thunk, the helper calls it again. if(typeof result === 'function') { result(handle) } else { callback(err, result) } When a final value is reached, it calls the original callback with undefined as error and the result as the second argument. The final code function flattenThunk(thunk) { // your code here return function (callback) { function handle (err, result) { if(err) return callback(err) if(typeof result === 'function') { result(handle) } else { callback(undefined, result) } } thunk(handle) } } That's all folks!  ( 6 min )

I just spent $7,000 on iPhones. Not because I'm rich (I'm not) or crazy (debatable), but because I needed to answer a question that's been driving me insane: Which iPhone actually has the best camera in 2026? Not Apple's marketing version. Not YouTube's sponsored version. The real answer, tested with 10,000 photos, 500 videos, and every lighting condition imaginable. What I discovered will probably upset both Apple and your wallet. The Contenders: Every iPhone That Matters text The Current Lineup (2026): iPhone 16 Pro Max - $1,399 (The flagship) iPhone 16 Pro - $1,199 (The compact flagship) iPhone 16 Plus - $999 (The dark horse) iPhone 16 - $899 (The surprise) iPhone 15 Pro Max - $999 (Last year's king) iPhone 15 Pro - $899 (The value proposition) iPhone SE 4 - $599 (The wildcard) Each pho…  ( 11 min )

This is a submission for the Agentic Postgres Challenge with Tiger Data I built Agentic Bitcoin24, a Bitcoin price tracker that never goes down, even when its primary data source fails. It's a growing database that gains value over time. Live Application: Agentic Bitcoin24 When the CoinGecko API fails (rate limits, outages, network issues), the site automatically falls back to Tiger Data's TimescaleDB cache. Users never see an error (they don't even know the switch happened). Key Benefits: 🎯 Zero Downtime - Site stays live during external API outages 💰 0.31% API Usage - Only 31 calls per month vs 10,000 limit ⚡ Instant Response - Tiger Data cache = no external API latency 🔄 Transparent Fallback - Users are unaware of the data source switch 📈 10-Year Sustainability - Will run for the n…  ( 8 min )

The term “headless commerce” has been echoing through conference halls, blog posts, and webinars for years now. Companies promise unlimited flexibility, lightning-fast performance, and unprecedented customer experiences. But what really lies behind this technology, and is it worth the investment for your business? Understanding Headless Commerce: Beyond the Buzzwords Headless commerce is an architectural approach to building e-commerce platforms where the “head” (frontend — what customers see) is decoupled from the “body” (backend — where product data, orders, and customer information live). These two parts communicate through APIs (Application Programming Interfaces). Think of traditional e-commerce platforms as monoliths — everything tightly coupled together. If you want to change how a …  ( 10 min )

Most people spend ages tweaking prompts, but these four ChatGPT hacks will halve your AI workflow: Prompt Reversal – figure out what makes your best prompts tick by working backwards. 5-Minute Amplifier – turn one piece of content into blog posts, tweets, emails and more in a snap. Red Team Technique – have ChatGPT play critic and spot its own flaws before you do. Blueprint Scaffolding – force the AI to outline its reasoning step-by-step before it dives into writing. Each method comes with real-world examples you can plug in today, works across any industry, and seriously speeds up your content game. Watch on YouTube  ( 6 min )

Previously I talked about how I was tired of "flaky" tests and how I'm using AI to generate test steps, saving hours of my time. I showed how I can create a 20-step E2E test in 6 minutes, just by describing it. But there's a problem. Even an AI can create a "brittle" test. Imagine you ask an AI: "Log in using 'admin@test.com' and password '12345', and check for the text 'Welcome, John Doe'". The AI will do it. And then your test will fail. It will fail when you run it on staging, where the login is staging_admin@test.com. It will fail when 'John Doe' changes his name to 'Jane Doe'. It will fail because it is hardcoded. This is the number one enemy of stable automation. And when I, as a solo developer, started building Debuggo, I knew I had to solve this problem first. AI is the "Magic," bu…  ( 8 min )

TL;DR CinemaSins just dropped their “Everything Wrong With Thunderbolts* (The New Avengers) In 20 Minutes Or Less” video, where they rack up all the movie’s “sins” while confessing it’s kinda great anyway. Expect their trademark snark, rapid-fire critiques and a surprising soft spot for the film. They also pepper the description with links to their main site, socials (TVSins, CommercialSins, TikTok, Instagram, Discord, Reddit), a fan poll, Patreon support, and shout-outs to the writers behind the video. Don’t miss out on bonus content and behind-the-scenes chatter over at CinemaSins.com! Watch on YouTube  ( 6 min )

Predators (2010) revives the franchise by ditching the Alien vs Predator detours and tossing a rag-tag squad into a muddy jungle deathmatch. It even sneaks in fresh twists that finally make it stand out from the previous, lackluster sequels. In his Caravan of Garbage review, Mr Sunday Movies hails it as a hidden gem—and can’t help but lament the fact we never got a proper follow-up. Watch on YouTube  ( 6 min )

🎯 What You'll Learn By the end of this tutorial, you'll understand: How Octant v2 transforms yield into sustainable public goods funding The architecture of yield-donating strategies How to build and deploy your own strategy Real-world examples with code walkthroughs Part 1: Understanding Octant v2 Depleting treasuries (unsustainable) Taking from users (creates friction) Octant's Innovation: Use ONLY the yield, keep the principal forever! The Flow User deposits 10,000 USDC Key Concept: Donation Shares User gets shares representing their PRINCIPAL Strategy mints NEW shares for YIELD Yield shares go to dragonRouter (donation address) This is like giving interest to charity while keeping your savings account balance! Part 2: Architecture Deep Dive Core Components 1. YieldD…  ( 10 min )

Note: I wrote this article for the Google Cloud Run Hackathon 2025. I built LearnForge, an AI-powered learning platform that does something no other platform does: it has a conversation with you, figures out what you actually want to learn (not what you think you want), researches the topic in real-time, and then creates a personalized learning journey that adapts to how you learn. Built on Google Cloud Run and Agent Development Kit (ADK) with 12 specialized AI agents working together, it handles everything from vague "I want to learn AI" statements to structured, adaptive learning missions that remember where you left off—even if you come back weeks later. The result? A learning experience that feels like having a personal tutor who never forgets, never gets tired, and actually knows what…  ( 16 min )

A step-by-step guide to identifying and fixing connection pool bottlenecks in Node.js applications How I reduced API response time from 1,221ms to 280ms using systematic load testing and pool optimization In this guide, you'll discover how to: Identify connection pool bottlenecks in your Node.js application Calculate the optimal pool size using load testing with k6 Monitor pool health with simple metrics Fix performance issues that cause 1000ms+ response times Let's start with a real production issue I encountered and how I solved it systematically. During a routine load test of my Node.js API with 150 concurrent users, I observed these concerning metrics: Node.js CPU: 45% RAM: 60% PostgreSQL CPU: 15% Average Response Time: 1,221ms P95 Latency: 2,890ms The symptom was clear: Database C…  ( 15 min )

We've recently run into a problem with our Wordpress site occasionally getting bombarded with login requests. To safeguard against this, we have implemented fail2ban on our Linux Machine to rate limit these requests. I am using fail2ban against Nginx access logs, and I've seen multiple times a recommendation to utilize Nginx's built-in rate-limiting limit-req (Rate Limiting with Nginx), and their zone idea seems to be what I'm doing when looking for specific requests. I'm instead implementing fail2ban on its own, and just reading the access logs. Fail2ban reactively scans log files for requests matching a filter (known as a fail) that (over a findtime duration) break the maxretry limit. If this happens, it locks them in jail for a bantime, stopping further requests. sudo apt update && sud…  ( 7 min )

Guía rápida: Consejos para hacer buenos mensajes de commit en Git 😀 Cristian Fernando ・ Dec 20 '24 #git #github #gitlab #spanish  ( 6 min )

One of my favorite parts of the JavaScript language is the JavaScript Ternary Operator. At heart, it’s a succinct, clean way of writing an if/else statement. You start by asking a question, If the item is a circle, it takes path one You would write it in JavaScript like this: circle ? true : false A ternary operator can also be stacked or ‘nested’. In this example the item we’ll use is a triangle. You would use the same first condition: circle ? true : _____ And replace the false condition with a second ternary: triangle ? true : false So a nested ternary would be: circle ? true : triangle ? true : false You can stack as many conditions as you like and adjust the formatting to visually appear like a switch statement: circle ? You are also able to return with a ternary operator by listing "return" before your condition: return circle ? true : false Unpacking this statement, it should read: By using "return" with a ternary you must always return from either condition. It's not able to be used in instances where you only want to return on true, but not false, and vice versa. All in all, I hope this helped understand the JavaScript Ternary Operator a bit better and why I find it so visually clean and fun to use.  ( 6 min )

Crushing IR-Drop: How Smart Software is Revolutionizing AI Hardware Performance Ever watched a high-powered AI task grind to a halt? Or worse, faced unexplained hardware failures during development? Chances are, the culprit is IR-drop: a sneaky voltage sag that can cripple even the most advanced Processing-in-Memory (PIM) architectures. Left unchecked, IR-drop becomes a silent bottleneck, turning cutting-edge AI dreams into expensive paperweights. Imagine an electrical grid where demand spikes unpredictably. That's your PIM chip during heavy computation. The core idea? Harmonize the software workload with the hardware's power delivery capabilities. We're talking about intelligently orchestrating the execution sequence to minimize simultaneous power surges across the chip. Think of it as…  ( 7 min )

Painting, drawing, sculpture, printmaking — these forms are still being practiced, taught, and collected. In fact, traditional media often gain new value when the digital world dominates. Handmade work has a tangible authenticity that digital tools can’t fully replicate. AI art, 3D modeling, and generative design have broadened what “art” can be, but they didn’t erase older forms. Historically, when photography appeared, people said painting would die — instead, painting transformed and found new purposes. Many artists today mix both — painting with digital enhancements, or using AI to inspire traditional pieces. The line between “digital” and “traditional” is increasingly blurred, which keeps both alive and relevant. So, if anything, traditional art is becoming more deliberate: a conscious choice in a digital age. It carries the aura of the handmade — and that makes it more meaningful than ever. Artists use projection mapping, sensors, and AI vision systems to make physical art reactive: A sculpture might change lighting or projection patterns based on audience motion or emotion (detected via AI). A painting could “respond” to viewers’ facial expressions by shifting colors or forms through AR overlays.  ( 6 min )

What Is Packagist? Packagist.org is the official package repository for Composer, PHP’s dependency manager. It’s where packages are published so anyone can install them easily using: composer require yourusername/yourpackage Before you start, you’ll need: A GitHub account A Packagist.org account PHP installed Composer installed (composer --version to check) Basic understanding of PHP namespaces and classes Create a folder for your project: mkdir MyPackage cd MyPackage Inside it, create this structure: MyPackage/ ├── src/ │ └── Greeting.php ├── composer.json └── README.md Example of src/Greeting.php <?php namespace MyPackage; class Greeting { public static function hello($name) { return "Hello, {$name}!"; } } composer.json File In the root directory, create a…  ( 7 min )

Kubernetes can be difficult even for the most experienced DevOps engineers; that stuff is a crazy monster! We will explore how to set up an Elastic Kubernetes cluster (EKS) and connect worker nodes using Terraform.  touch main.tf variable.tf In the main.tf, create the provider block and add the resource needed to create EKS cluster. As part of the requirement, we need to create the required role that EKS needs to interact with other AWS resources. We will call this eks-cluster-role terraform { required_providers { aws = { source = "hashicorp/aws" version = "~> 6.0" } } } # Configure the AWS Provider provider "aws" { region = "us-east-1" } Create the eks-cluster-role and attach the AmazonEKSClusterPolicy to this role resource "aws_iam_role" "eks-cluster-role" {…  ( 8 min )

If you've tried using the Raspberry Pi Camera Module 3 with Ubuntu 24.04, you've probably discovered it doesn't work out of the box. The standard libcamera package from Ubuntu's repositories doesn't support Raspberry Pi cameras. Here's the complete, tested solution. Ubuntu 24.04's default libcamera is the upstream version, which lacks support for Raspberry Pi's camera hardware. To get your Camera Module 3 working, you need to build Raspberry Pi's fork of libcamera and rpicam-apps from source. Raspberry Pi 4 or 5 running Ubuntu 24.04 Camera Module 3 properly connected Internet connection At least 2GB free disk space First, remove any pre-installed camera packages: # Remove existing rpicam-apps sudo apt remove --purge rpicam-apps # Remove standard libcamera (if installed) sudo apt remove --…  ( 9 min )

Event-driven architectures are the core of modern cloud systems. They allow applications to react automatically to changes, without needing constant manual intervention or polling mechanisms. In this lab, I implemented an event-driven workflow that monitors EC2 instance state changes and sends email notifications whenever an instance transitions between states, using Amazon EventBridge and Amazon Simple Notification Service (SNS). Trigger an email notification whenever an EC2 instance starts, stops, or terminates. Amazon EC2 – the compute instance whose state we’re monitoring. Amazon EventBridge – to capture EC2 state change events. Amazon SNS – to send notifications to subscribers (email). Flow: An EC2 instance changes its state. EventBridge detects the state change event. EventBridge triggers an SNS topic. SNS sends an email notification to the subscribed user. Steps I Followed Created an EC2 instance – a simple instance to monitor. Set up an SNS topic – and subscribed my email address to receive notifications. Created an EventBridge rule – configured it to listen for EC2 instance state change events. Added SNS as the target for the EventBridge rule. Tested it by starting and stopping the EC2 instance — and watched email notifications come in automatically. Conclusion This lab showed me how AWS services integrate seamlessly to create automated, reactive systems. I’m excited to explore more event-driven patterns using Lambda, SQS, and Step Functions next.  ( 6 min )

🧠 TOON for Laravel — Compress your prompts, not your ideas 📝 License: MIT    ⚡ Laravel: 9+    🐘 PHP: 8.1+ When building AI-powered Laravel apps, developers often struggle with massive JSON data, expensive token usage, and hard-to-read prompts. That’s where TOON comes in — a Laravel-native data compressor designed to make your AI payloads smaller, cleaner, and easier to understand. 💡 "Compress your prompts, not your ideas." TOON transforms verbose JSON or PHP arrays into a compact, human-readable format that reduces token cost by up to 70%, while preserving every bit of data. Feature Description 🔁 Bidirectional Conversion Convert JSON ⇄ TOON effortlessly 🧩 Readable & Compact YAML-like syntax with improved readability 💰 Token Efficient Save up to 70% of AI token co…  ( 8 min )

💡 Next-Level Deployments in AWS ECS: Step-by-Step Guide to Linear & Canary Releases 🚀 Ahmed Adel ・ Nov 7  ( 6 min )

Understanding ILogger in .NET Core — A Complete Guide Logging is an essential part of every modern application. It helps you understand what’s happening inside your system, debug problems faster, and monitor production environments effectively. In .NET Core, logging is built-in through the ILogger interface, part of the Microsoft.Extensions.Logging namespace. This powerful abstraction allows developers to log messages to multiple providers like Console, File, Seq, Elasticsearch, and more — all using a consistent API. ILogger? ILogger is the core logging interface in .NET Core that provides a unified way to write log messages. It abstracts away the underlying implementation, so you can change the logging provider without touching your application logic. public interface ILogger { …  ( 8 min )

Si está utilizando SOLIDWORKS PDM y sus credenciales de Microsoft SQL han cambiado, actualizar la configuración del Servidor de Base de Datos es un paso crítico. Sin esto, los servicios de PDM pueden no funcionar correctamente. El servicio del Servidor de Base de Datos SOLIDWORKS PDM consulta periódicamente las bases de datos para actualizaciones como: Notificaciones automáticas Actualización de vista local Actualizaciones de lista de tarjetas Actualizaciones de programación de replicación Cambios en el servidor de índices Si sus credenciales SQL están desactualizadas, estas operaciones pueden fallar. Abrir Configuración del Servidor de Base de Datos: Navegue a Inicio de Windows > SOLIDWORKS PDM > Configuración del Servidor de Base de Datos Actualizar credenciales SQL: Ingrese las nuevas credenciales en la sección Credenciales de Conexión SQL-Server Reiniciar el servicio: Reinicie el Servidor de Base de Datos SOLIDWORKS desde Servicios de Windows Para instrucciones detalladas paso a paso y capturas de pantalla, lea el artículo completo. Actualizar las credenciales SQL es un proceso simple pero esencial para que su sistema PDM funcione sin problemas. ¡No olvide hacer esto después de cambiar sus credenciales SQL!  ( 6 min )

Wenn Sie SOLIDWORKS PDM verwenden und sich Ihre Microsoft SQL-Anmeldedaten geändert haben, ist die Aktualisierung der Database Server-Konfiguration ein kritischer Schritt. Ohne diese können PDM-Dienste möglicherweise nicht ordnungsgemäß funktionieren. Der SOLIDWORKS PDM Database Server-Dienst überprüft regelmäßig Datenbanken auf Updates wie: Automatische Benachrichtigungen Aktualisierung der lokalen Ansicht Kartenlisten-Updates Replikationsplan-Updates Index-Server-Änderungen Wenn Ihre SQL-Anmeldedaten veraltet sind, können diese Vorgänge fehlschlagen. Database Server Configuration öffnen: Navigieren Sie zu Windows Start > SOLIDWORKS PDM > Database Server Configuration SQL-Anmeldedaten aktualisieren: Geben Sie neue Anmeldedaten im Bereich SQL-Server-Verbindung ein Dienst neu starten: Starten Sie den SOLIDWORKS Database Server aus Windows-Diensten neu Für detaillierte Schritt-für-Schritt-Anleitungen und Screenshots lesen Sie den vollständigen Artikel. Die Aktualisierung von SQL-Anmeldedaten ist ein einfacher Vorgang, aber wichtig, damit Ihr PDM-System reibungslos läuft. Vergessen Sie nicht, dies nach einer Änderung Ihrer SQL-Anmeldedaten durchzuführen!  ( 6 min )

We all want a free and fast way to put a simple website online. Years ago, Google Drive was a surprising tool for this. But when Google stopped the direct website hosting feature, smart solutions like drvx.net (DriveX) appeared to fix the problem. drvx.net keeps all the good things about hosting from cloud storage, but makes it work better now: Totally Free: You just use the free storage space you already have in your Google Drive. Go Live Fast: Your files become a live website in just a few seconds. Quick Loading: Since the content comes from Google’s strong system, your website loads very fast. Very Simple: No need to learn complicated server setups or fancy coding processes. ​Keep in Mind: This method only works for simple websites (like landing pages, portfolios, or documentation) that…  ( 7 min )

A fun exercise to help build the right mental model for Python data. The “Solution” link uses memory_graph to visualize execution and reveal what’s actually happening, good luck. Solution Explanation  ( 5 min )

Introduction The evolution of data formats tells a fascinating story about how technology adapts to meet our changing needs. From the humble .INI files that powered early configurations to the verbose but structured XML, the lightweight JSON, the human-friendly YAML, and now TOON a token-optimized format built for the AI era each has emerged to solve the challenges of its time. Today, as Large Language Models (LLMs) reshape how we process and exchange information, efficiency at the token level has become a new frontier. Let’s explore how TOON (Token-Oriented Object Notation) compares with JSON, and why TOON might become the preferred format for GenAI developers. The .INI format was one of the earliest ways to store configurations. Simple and direct, it used key-value pairs grouped into …  ( 8 min )

4 ChatGPT Hacks That’ll Halve Your Workload Jeff Su breaks down four quick tricks to supercharge your AI game: Prompt Reversal: Peek at ChatGPT’s ideal output first, then work backward to craft the perfect prompt. 5-Minute Amplifier: Turn a single idea into blog posts, social updates, emails or any format in no time. Red Team Technique: Ask ChatGPT to play critic—uncover blind spots, tighten up arguments, and polish your drafts. Blueprint Scaffolding: Force the model to outline its reasoning step by step before diving into the actual answer. Each hack comes with real-world demos you can copy-paste right away, slashing your AI workflow in half—regardless of your role or industry. Watch on YouTube  ( 6 min )

Load Roblox / Fortnite body { font-family: system-ui, -apple-system, "Segoe UI", Roboto, Arial; background:#0f1720; color:#e6eef8; margin:0; padding:20px; } .container { max-width:1100px; margin:0 auto; } h1 { margin:0 0 12px; font-size:20px; } .row { display:flex; gap:20px; flex-wrap:wrap; } .card { background:linear-gradient(180deg, rgba(255,255,255,0.02), rgba(255,255,255,0.01)); padding:14px; border-radius:12px; flex:1 1 460px; box-shadow: 0 6px 20px rgba(0,0,0,0.6); } label { display:block; font-size:13px; margin-bottom:8px; color:#bcd3ff; } input[type="text"]{ width:100%; padding:8px 10px; bor…  ( 7 min )

CinemaSins races through Thunderbolts (The New Avengers) in under 20 minutes, pointing out every cheesy line, plot hole, and hero gaffe—yet cheekily hints the movie might actually be… not terrible? Along the way you get links to all their side channels (TV Sins, Commercial Sins, etc.), a sinful poll, Patreon pitches, shout-outs to writers like Jeremy, Chris, Aaron, Jonathan, Deneé, Ian and Daniel, plus invites to join their Discord, Reddit and other socials. Watch on YouTube  ( 6 min )

Predators (2010) gets a Caravan of Garbage thumbs-up from Mr Sunday Movies, hailed as a true return to the franchise’s roots with a rag-tag crew, jungle thrills and a muddy showdown—complete with fresh twists that blow past the 1990 sequel and Alien vs Predator misfires. The only bummer? We never got a proper follow-up to this fan favorite. Want more? Swing by their site for early videos, bonus podcasts and game let’s-plays, check the extended audio edition, follow James & Maso on Twitter, subscribe on YouTube, dive into the podcast, support on Patreon and snag some official merch. Watch on YouTube  ( 6 min )

🚀 Cloudflare Worker API Gateway v3.0 - The Self-Configuring Smart Proxy "The API Gateway That Thinks For Itself" ✨ 🎯 Introduction & Overview ⚡ Quick Start Installation 🧠 Core Principles & Architecture 🛠️ Detailed Usage Guide 🌟 Features & Benefits ⚠️ Limitations & Challenges 🔮 Future Roadmap 🏗️ Technical Deep Dive 📁 Project Structure 🎯 Development Opportunities 🚀 Live Demo & Testing This Cloudflare Worker represents a revolutionary approach to API gateways - it's not just a simple proxy, but an intelligent, self-configuring API orchestration system that automatically discovers and routes requests to multiple AI model providers. Think of it as: 🧭 A smart GPS for your API requests that automatically finds the best route to your destination (the AI model you want) without you nee…  ( 11 min )

🚀 Cloudflare Worker API Gateway v3.0 - The Self-Configuring Smart Proxy "The API Gateway That Thinks For Itself" ✨ 🎯 Introduction & Overview ⚡ Quick Start Installation 🧠 Core Principles & Architecture 🛠️ Detailed Usage Guide 🌟 Features & Benefits ⚠️ Limitations & Challenges 🔮 Future Roadmap 🏗️ Technical Deep Dive 📁 Project Structure 🎯 Development Opportunities 🚀 Live Demo & Testing This Cloudflare Worker represents a revolutionary approach to API gateways - it's not just a simple proxy, but an intelligent, self-configuring API orchestration system that automatically discovers and routes requests to multiple AI model providers. Think of it as: 🧭 A smart GPS for your API requests that automatically finds the best route to your destination (the AI model you want) without you nee…  ( 21 min )

In this tutorial, we will delve into how to install n8n locally and run it in the simplest, most beginner-friendly way. Whether you’re a developer, data scientist, or automation enthusiast, this guide will get you started in minutes. Before running n8n locally, you need Docker Desktop installed on your machine. Download it here: https://www.docker.com/products/docker-desktop/ After installing Docker Desktop: Open it and make sure it’s running. Enable WSL 2 if prompted (Windows Subsystem for Linux). Open Docker Desktop Terminal or PowerShell — we’ll use it to pull and run n8n This downloads the official n8n image from Docker Hub. To save your workflows and credentials between restarts, create a Docker volume: pick your timezone: https://en.wikipedia.org/wiki/List_of_tz_database_time_zones#List Check the TZ database time zones list and remember the exact string (like Africa/Tunis) — we’ll use it in the next step. Tip: PowerShell uses ^ as the line continuation character. On one line, you can remove the ^ entirely. Once it starts, open your browser: http://localhost:5678  ( 6 min )

Learnt DOM in js from Chai and Code Learnt DATA SCIENCE LIFECYCLE from CWH DS course Problem Definition - the first step is to understand the problem what exactly what do you want to solve Data Collection - it is the process of collecting data from various sources such as Web Scraping, Databases, Third Party Data, APIs etc Data Cleaning - it is the process of cleaning data by removing or editing the inaccurate or incomplete data using various python libraries such as pandas numpy ( in the initial state data is known as data dump ) a data scientist spends around 80% of his time in data cleaning Data Exploration - understanding the data and finding the relations and patterns in the data using Matplotlib, Seaborn Model building - Creating and training the model for predictions or decision making the models can be a simple python program to a complex machine learning model eg : Scikit learn , Tensor flow, PyTorch Model Evaluation - it is the process of checking how accurate the model is , it is done by using some data for evaluation and some data for training the model Deployment - grounding the model in to the real world or the production system using Flask, Fast API, React Communication and reporting - sharing insights at the end of the day Maintenance and Evaluation - Keeping the model updated and accurate as the inaccurate data may lead to inconsistency in the result  ( 7 min )

OmniVinci: The AI That Can See, Hear, and Understand Like a Human What if a computer could watch a video, listen to its sound, and instantly grasp what’s happening—just like we do? Scientists have built a new AI system called OmniVinci that learns from both pictures and audio together, making it far smarter than models that handle only one sense. This discovery shows that when different types of information work together, AI becomes more intuitive and useful. In everyday life, that could mean smarter assistants, safer autonomous machines, and faster medical diagnoses. Read article comprehensive review in Paperium.net: OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 21 min )

CI/CD Semantic Automation: Transforming Continuous Integration Through Intelligent Failure Analysis By Ziv Kfir Table of Contents Introduction Historical Evolution of CI/CD Integration Semantic Code Base Database CI Result Analysis Automation Future Directions Conclusion References Continuous Integration and Continuous Deployment (CI/CD) have become fundamental pillars of modern software development, enabling teams to deliver high-quality software efficiently and effectively. However, as codebases grow in complexity and scale, traditional CI/CD pipelines face significant challenges in providing context-rich insights when builds fail. The gap between CI failure notifications and a clear understanding of root causes remains a critical bottleneck in development …  ( 22 min )

Hey everyone, It started as a simple tool because I was tired of manually swapping .env files and terrified of accidentally committing a secret. The first version (1.0.0) was fine—it had a switcher, a diff view, and some basic pre-commit hooks. ...But then I got obsessed with the secret-detection part. I felt like the standard regex/entropy checks just weren't good enough. So... I kind of lost my mind. I decided to build my own custom Large Language Model (LLM) for it. From scratch. It's a 4-layer transformer model built in Python, served via FastAPI, with 14-dimensional feature extraction. It gives sub-100ms, real-time AI secret detection that's way more accurate than just checking for "high entropy." The problem? The tool became insanely powerful, but the UI was a complete mess. It w…  ( 7 min )

Hiring is broken. Hey! I'm Ian — a frontend engineer, mentor, and founder of SkillHunt, a next-gen career platform focused on transparency, speed, and community. Over the last few years, I’ve been deeply involved in the hiring process — as a candidate, mentor, and someone helping others find opportunities. After hundreds of interviews, dozens of referrals, and conversations with recruiters and hiring managers, I noticed consistent pain points. Too much noise. It’s difficult for companies to find strong talent quickly. Opaque processes. Candidates often apply into a void — no visibility, no feedback. Everything is paid. Recruiting platforms charge for visibility, boosting profiles, posting jobs. No trust layer. Profiles look similar; companies are hard to evaluate. Fragmented tooling. Resum…  ( 8 min )

Apple just dropped the beta versions of iOS 26.2, iPadOS 26.2, macOS 26.2, tvOS 26.2, visionOS 26.2, and watchOS 26.2. There are some important features and API changes you'll want to test in your apps before the public release hits. Here's what's new and what you should be doing right now. Released on November 4, 2025, iOS 26.2 beta is available now for testing. The Lock Screen now has a Liquid Glass slider that lets users customize how transparent their clock looks. They can choose between: Glass mode: Fully transparent with dynamic effects Solid mode: Traditional opaque appearance Adjustable slider: Fine-tune the frosted glass effect If your app has custom Lock Screen widgets or interacts with the Lock Screen in any way, you'll want to test how they look with different Liquid Glass sett…  ( 11 min )

This article was initially published on the Manifester blog. TL;DR: Feature flag overrides let you force a flag state for specific users or contexts, bypassing normal targeting rules. Without them, your team can’t test in production, support can’t debug user issues, and every exception becomes a targeting-rule nightmare. Build them from day one or spend weeks building workarounds later. Here’s the thing: if your feature flag system doesn’t have overrides, you’re going to have a bad time. I learned this the hard way, and I’m writing this so you don’t have to. Overrides let you force a flag to a specific state for particular users or contexts, regardless of your targeting rules. Without them, you end up with a technically working feature-flag system that’s surprisingly useless when you actua…  ( 9 min )

🚀 Introducing Agentic Postgres: The First & Free Database Built for Agents Ajay Kulkarni for Tiger Data (Creators of TimescaleDB) ・ Oct 21 #ai #database #postgres #agents  ( 6 min )

Remember when choosing an operating system was a big debate back in the day? Those discussions have largely faded, primarily because most desktop work now happens in browsers. With most applications now being web-based, the browser has effectively become the OS for most of us. But does it really matter which browser we use? Aren't they all essentially the same? Actually, yes—they are quite similar. People shouldn't spend excessive time agonizing over browser choice (though I'm guilty of this myself). About half of users are perfectly content with whichever browser they're using, never complaining or switching. If you're one of them, that's great—stick with what works for you. However, if you feel something could be better, this guide might help you find your ideal browser. The biggest brow…  ( 11 min )

🚀 Full Stack Reimagined: Why Bun, Elysia, Drizzle, and Vue 3 is the Modern Dev Dream In the fast-moving world of full-stack development, we're constantly searching for the sweet spot: maximum speed paired with bulletproof type safety and an amazing developer experience (DX). If you've felt like you have to sacrifice one for the other, I've got good news. Meet the new dream team: Bun, Elysia, Drizzle ORM, and Vue 3. This isn't just a collection of cool tools—it's a cohesive, modern stack designed to make building scalable, type-safe web applications genuinely fun and incredibly fast. Our backend stack is built for performance and reliability, all powered by TypeScript. Bun: More Than Just a Runtime Forget Node.js for a minute. Bun is an all-in-one JavaScript and TypeScript runtime t…  ( 11 min )

Today started with what was supposed to be a simple task: install LiveReview on my macOS machine so I could validate changes before sending a PR to my lead. Except… my company had completely blocked Docker Desktop. The installer was flagged by macOS security and wouldn’t run. Apparently Docker Desktop is a “nope” on our machines now. But the PR had to go out. LiveReview needs Docker. So giving up wasn’t an option. A friend dropped a tip: “Try OrbStack. It runs Docker on macOS differently.” I didn’t expect much, but I installed it anyway. At first, macOS security grumbled, there was only two options, done/move to bin. I tried done, but it wouldn't let me run it. I removed it, restored it from the Bin to Applications, and—somehow it launched. "Run Anyways" in the angry pop-up. I opened Te…  ( 8 min )

Headline grabber: A pocket-sized, serverless messaging network that whispers to nearby phones over Bluetooth — no phone numbers, no servers, no middlemen. Sounds like liberation. Feels like contingency planning. But is it safe? Let’s unbox BitChat end-to-end: what it is, what it does well, where it breaks, and how to decide whether to trust it with your voice. TL;DR — The one-line summary BitChat is a useful, resilience-focused tool for local messaging when networks go down, but it is not a drop-in replacement for mature, audited end‑to‑end secure messaging; real threats exist at the transport, implementation, and device layers, and early users should treat it as promising—but experimental—until third‑party audits and fixes land. What BitChat actually is (elevator version) BitChat is a pe…  ( 11 min )

Strong Computational Evidence for the Distinct Primes Goldbach Variant Frank Vega Information Physics Institute, 840 W 67th St, Hialeah, FL 33012, USA vega.frank@gmail.com This work builds upon Geometric Insights into the Goldbach Conjecture. The Goldbach conjecture states that every even integer greater than 2 is the sum of two primes. We present a computational approach that provides strong evidence for a variant: every even integer ≥ 8 is the sum of two distinct primes. Our key insight is a geometric equivalence: this is true if and only if for every N≥4N ≥ 4N≥4 , there exists an integer MMM such that the L-shaped region N2−M2N^2 - M^2N2−M2 between nested squares has a semiprime area P⋅QP \cdot QP⋅Q , where P=N−MP = N - MP=N−M and Q=N+MQ = N + MQ=N+M …  ( 10 min )

Imagine you're glued to your laptop, watching the final seconds of a live auction. Bids shoot up every second. You're sweating, hovering over the button, waiting for the latest price. But instead of seeing updates instantly, you keep smashing refresh like it's 2007. By the time the price changes, someone else has already won. That used to be the reality of real-time data on the web. Before WebSockets, the browser had one way to stay updated: keep asking the server every few seconds. Polling. It worked, but barely. It was wasteful, slow, and honestly, a little embarrassing for the modern web. Then WebSockets showed up in 2011 and flipped the script. A persistent connection. Two-way communication. Real-time data without spammy refresh loops. Suddenly the web could behave more like a trading …  ( 8 min )

Hello, future astronauts and fellow cosmic explorers! We've previously built a simple model of the Martian ionosphere, but as any chemist will tell you, the Red Planet's atmosphere is far more complex than a single gas. It's a subtle mix, a delicate chemical brew of carbon dioxide, nitrogen, argon, and a few other trace gases that have a powerful effect on how the ionosphere behaves. Today, we're going to upgrade our algorithm to reflect this reality, drawing inspiration once again from the foundational work of Professor R.P. Singhal. His Analytical Yield Spectrum (AYS) method, as detailed in his book Elements of Space Physics (2022), provides the perfect framework for this kind of detailed analysis. We’ll show how each gas contributes its own unique flavour to the ionisation process, maki…  ( 8 min )

In my last post I detailed how Kottster offers a great way to create an admin UI for startup projects. In that post I lamented how Kottster didn't yet offer a way to provide a custom editor UI for specific database columns. Turns out they do and I had missed it in their docs. To test out this feature I created two non-trivial field editor components. I created a location picker with a clickable map that uses GeoJSON: I also created a file uploader which sends files to S3: All of my code is here : https://github.com/aaronblondeau/wookie-sightings. 1) I created a new Kottster project (Typescript and pnpm): https://kottster.app/docs/ 2) I installed drizzle (SQLite) pnpm add drizzle-orm @libsql/client dotenv pnpm add -D drizzle-kit tsx 3) I created a .env file with the path to my SQLite db.…  ( 9 min )

Maybe today you liked a post written by AI. I don’t know if you’ve noticed it too, but it feels like the internet is starting to sound the same. Sometimes I can scroll for hours without seeing a single sentence that makes me pause, or an image that sparks any curiosity. Everything has become too “correct.” Too formatted. And then I stumble upon something raw. The “Dead Internet Theory” is a conspiracy idea claiming that most content online today is not produced by real people, but by artificial intelligence, bots, and automated systems, and that real human activity on the web has “disappeared” or drastically declined. Ever since the rise of the mass internet in the late 1990s and early 2000s, people have noticed automated behavior in forums, mailing lists, and comment sections. The theory …  ( 8 min )

When building modern web applications, performance is one of the key factors that can make or break the user experience. One of the often overlooked areas is how we include CSS in our web pages. The way you link to stylesheets can have a significant impact on how quickly a page renders and how smooth the user experience feels. Two important aspects to understand here are the preload property and the stylesheet property when using the element. Traditionally, we include CSS files in our HTML using the tag with the rel attribute set to stylesheet. For example: This tells the browser to download the CSS file and apply it to the page. The browser will block rendering of the page until the CSS is fully downloaded and processed. This behavi…  ( 8 min )

Welcome back to our DSA Learning Series — where we pick one problem at a time, understand its logic deeply, and write clean, beginner-friendly code. The Three Sum problem is a favorite among interviewers because it tests layered logical thinking — combining array traversal, the two-pointer technique, and duplicate handling. But before tackling Three Sum, it’s crucial to fully understand the Two Sum logic, especially when the array is sorted. Revisiting Two Sum (in a Sorted Array) Problem Statement Example: Input: nums = [-3, -1, 0, 2, 4, 5], target = 3 Output: [1, 2] -- since nums[1] + nums[2] = 3 Intuition Steps: Place one pointer at the start (left) and another at the end (right). Calculate the sum of both numbers. If sum == target, we found the pair. If sum < target, move the le…  ( 8 min )

_This a call to arms for the rare builder who sees code as covenant, scarcity as signal, and truth as the only alpha. “Bitnet ($BTN): Code, Scarcity, and the Asymmetric Bet” Look—let’s cut through the noise. If you’re reading this, you’re not here for hype. You’re not here because some influencer shilled a chart. You’re here because something about Bitnet ($BTN) itches at your intuition: A fixed-supply, halving-based, proof-of-work chain… no pre-mine, no VC dump, just mining, self-custody, and open code. That’s the kind of design that echoes Satoshi—not the Wall Street knockoffs flooding the market today. But here’s the brutal truth: In crypto, claims are worthless. Only verification prints truth. And right now, Bitnet sits in the liminal space between promise and protocol. Yes, there…  ( 8 min )

Hey everyone, the simple quiz game on Reddit and want to share my experience and things I learned on the way. This is my take on Reddit games on Youtube, in case you prefer a video format: First of all, what is the Reddit Games? They exist for years I believe, but for some reason many people don't know about them and I actually found out only recently too. It's an ecosystem on Reddit that includes their native hosting for web apps and proprietary framework called Devvit.js. So you can build full scale applications and games and host them for free on Reddit. Also, you can even receive in-app payments, and this is why I think it's still undervalued. I believe it will grow, but right now it looks like it's still early to enter the ecosystem. So in case you're interested keep re…  ( 7 min )

published: true https://sirity.com/cv-builder/assets/templates/thumbs/template45.png https://sirity.com/blog/how-to-write-best-cv-templates/ 🧠 Build Your Own Professional CV Online with Sirity.com Creating a professional CV doesn’t have to be complicated. Sirity.com is a smart Arabic-English resume builder designed to help you create modern, ATS-friendly CVs in minutes — no design or technical skills required. Most online resume tools overlook Arabic users. Sirity was built to bridge that gap — helping job seekers in the Arab world create clean, structured, and HR-optimized resumes that pass ATS systems used by top companies. ✨ ATS (Applicant Tracking System) scans your CV for keywords and structure — Sirity ensures your CV is fully optimized for that. Sign up on sirity.com…  ( 7 min )

Everything Wrong With Sinners In 15 Minutes Or Less CinemaSins is back with their signature “Everything Wrong With…” roast, squeezing one of the year’s best genre flicks into a rapid-fire 15-minute sin session—perfect for a Halloween laugh. They promise lots of guilty fun while nitpicking every plot hole, cliché and dangling thread. Want more sinspiration? Hit up cinemasins.com or their YouTube spin-offs (@TVSins, @commercialsins, @CinemaSinsPodcastNetwork), fill out their sinful poll, or support the team on Patreon. You can also join the Discord, Reddit, Instagram and TikTok communities for even more movie-loving hijinks. Watch on YouTube  ( 6 min )

When building an application (frontend or backend) that requires file management, developers typically face two choices: build a custom feature or purchase an enterprise management service. Building a complete file management system or Content Management System (CMS) can be a significant time investment, especially when several robust, premium enterprise solutions already exist. However, while paying for an existing enterprise solution seems easier, the pricing tiers often become a major consideration. This tutorial guide will offer developers an alternative by walking through how to quickly integrate a self-hosted file management application with a ReactJS application. To follow along with this tutorial, you should have: Docker Engine installed Working knowledge of JavaScript and ReactJS …  ( 9 min )

Predators – Caravan of Garbage Review 2010’s Predators finally ditched the half-baked crossovers and threw a rag-tag crew into the jungle, complete with muddy showdowns and fresh twists that actually felt true to the original. Mr Sunday Movies calls it a long-overdue return to form and can’t believe we never got a direct sequel. Catch the full “Caravan Of Garbage” breakdown—along with extended audio editions, bonus podcasts and more—over on his site, Patreon and all the usual social haunts. Watch on YouTube  ( 6 min )

Understanding Python Async Patterns: Basics As asynchronous programming continues to gain traction in modern software development, Python's asyncio module has become a crucial tool for building efficient and scalable applications. This blog post delves into various patterns and best practices of asynchronous programming in Python, focusing on the asyncio library, its common usage scenarios, and critical design patterns for effective implementation. In this article, we will explore the foundational concepts of asynchronous programming, highlighting the significance of I/O-bound tasks and how asyncio facilitates concurrent task handling. We will discuss common patterns, practices to avoid pitfalls, and provide code examples that illustrate these techniques. Whether you're developing a web …  ( 9 min )

INTRODUCTION 🔹 In this guide, we’ll walk through how to create a Virtual Machine (VM) in Microsoft Azure using a Free Trial Account with $200 in credits. Sign up for a free trial at Azure Free Trial. Get $200 in credits to explore and deploy Azure services. Navigate to portal.azure.com. Enter your username and password to access the dashboard. In the search bar, type “Virtual Machines”. Alternatively, click the ☰ (hamburger menu) → Create a Resource → Virtual Machine. Click on Virtual Machine from the search results. Click Create → Azure Virtual Machine. Choose “Virtual Machine hosted by Azure.” Select the appropriate Subscription. Click Create Resource Group → Enter a descriptive name (e.g., MyVMGroup). Enter the following details: VM Name: MyAzureVM Operating Syste…  ( 7 min )

🎃 Spooky Season is Here – A Halloween Landing Page Experience This is a submission for Frontend Challenge—Halloween Edition, Perfect Landing For this year’s Halloween Frontend Challenge, I created a spooky interactive landing page titled “Spooky Season is Here” 👻. The idea was simple: dark, atmospheric webpage that instantly feels like Halloween—with moving fog, flying bats, glowing pumpkins, and creepy effects that surprise visitors. So I built a fully animated single-page experience using HTML, CSS, and Vanilla JavaScript (no libraries, no frameworks—pure front-end fun). 🔗 Live Demo: Wanna try 💻 Code Repository: Click Here Dynamic fog layers floating across the screen for atmosphere Animated bats, ghosts, and spider webs that make it feel alive Floating pumpkins that react…  ( 7 min )

Here’s your text with grammar, punctuation, and flow improved while keeping your original tone and meaning intact: An outdated documentation is often referred to as “documentation debt” or “tech debt” in software development. Learning from documentation is far better than falling into tutorial hell. But learning from outdated documentation is even worse. Recently, I have been relying on documentation rather than watching tutorials for learning purposes. I am currently trying to understand the codebase of a large project for open-source contribution. For that, I had to clone and build it by referring to the documentation provided. This problem took me days to solve. Finding newer versions of each library, reaching out to maintainers to confirm compatibility, and searching for missing dependencies from alternate sources turned into a constant cycle of trial and error. It consumed a lot of time and energy — both mine and the maintainer’s — as we worked through each build issue and tracked down missing libraries. The project itself is very interesting, but over time, all these hurdles made me lose interest. And that’s exactly what happens when documentation isn’t updated regularly. Up-to-date documentation plays a crucial role in improving both user and developer experience, ensuring they continue using and contributing to your product in the long run.  ( 6 min )

You may have heard you can compile Kotlin → Wasm but did you know you can call Wasm from Kotlin? Why would you want to do that? It may sound odd but theres genuine reasons why you would want to do this. WebAssembly is a compilation target of almost every single language you can think of, Kotlin, Swift, Go, Rust, C, C* etc etc etc the list goes on. If you can interface with Webassembly, you have the potential to access libraries from any of these languages! Fancy working on an AI project but you're stuck because machine learning engineers cannot write anything else but Python? No problem compile Pytorch to as wasm module and you're off to the races (kinda... more of this later) Programming language ecosystems for the longest time have been siloed, preventing not just the sharing of code,…  ( 12 min )

Hey Dev Community! For the last few weeks, I've been heads-down building a tool to solve a problem that's been driving me crazy: vendor lock-in when building AI agents. I love the power of agents, but I hated that choosing a framework meant getting stuck with one provider. Want to switch from GPT-5 to Claude 4? That meant a painful rewrite. So, I built Allos: an open-source, MIT-licensed agentic SDK for Python. The philosophy is simple: write your agent logic once, run it with any LLM provider. Before I explain more, just watch what it can do. Here's a 2-minute video where Allos builds a complete, multi-file FastAPI application from a single prompt. Get Started in 2 Minutes You can replicate that experience right now. 1. Install the SDK (with all providers): uv pip install "…  ( 8 min )

🧊 🌋 ❄️ ✈️ ⚔️ 9-Day Break: The Mythic Pause A personal reflection and journal log 🌍 Icelandic Interlude: The First Real Break A slower, more intentional pace of life Surprisingly delicious food (despite the warnings) Friendly locals and a calm atmosphere, even with tourists Expensive, yes — but worth every krona After seven days of awe, I returned home and took two days to re-sync with reality. Then I reopened my survival engine project — and it felt like deciphering someone else’s code. 🧭 Reentry Ritual: Reforging Flow Reviewed commits and journal entries Revisited ItemTooltipManager.cs and InventoryStateManager.cs Verified tooltip accuracy and runtime truth Rebound live item data and refreshed UI bindings Reconnected with my discard ritual sabotage 🧨 Sabotage Discovered: False Discar…  ( 8 min )

As promised, we added SSE (Server-Sent Events) support to WebForms Core version 2 (just as we added WebSocket support in previous versions). SSE allows you to create long-lived, one-way connections from the server to the client, enabling real-time updates without repeated client requests. With this update, CodeBehind framework in Elanat can now respond directly to SSE requests. You can send data to SSE connections with a single method call, no middleware required. SSE works just like WebSockets but is much simpler for one-way server-to-client communication. Please note: WebForms Core only establishes SSE connections; how SSE events are processed depends on your backend infrastructure. Two new settings are added in the CodeBehind options file: [CodeBehind options]; do not change order view…  ( 9 min )

As a best-selling author, I invite you to explore my books on Amazon. Don't forget to follow me on Medium and show your support. Thank you! Your support means the world! When I first started building real-time data systems, I quickly learned that handling continuous data streams is like trying to drink from a firehose. Without proper controls, you either get overwhelmed or waste precious resources. In Golang, creating efficient stream processing pipelines requires a delicate balance between speed and stability. I want to share a practical approach that has served me well in production environments. Stream processing involves handling a continuous flow of data, often in real-time. Imagine a system that processes millions of events per second, like user clicks on a website or sensor reading…  ( 12 min )

A post by jeancybingolo8-hub  ( 6 min )

How a New Test Helps Smart Bots Think Like Humans Ever wondered why some AI chatbots still make silly mistakes or give outdated facts? Researchers have created a fresh benchmark called RAGCap‑Bench that puts these bots through a series of “thinking drills. It’s a breakthrough that reminds us AI isn’t just about raw speed; it’s about thoughtful, reliable thinking. Better tools, smarter help—that’s the promise for the next generation of digital assistants. Read article comprehensive review in Paperium.net: RAGCap-Bench: Benchmarking Capabilities of LLMs in Agentic Retrieval AugmentedGeneration Systems 🤖 This analysis and review was primarily generated and structured by an AI . The content is provided for informational and quick-review purposes.  ( 21 min )

Street-Smart Coding—30 Lessons to Help You Code Like a Pro (My New Book Is Here) Cesar Aguirre ・ Nov 3 #coding #beginners #showdev #programming  ( 6 min )

My Experience Switching to Omarchy I hate nothing more than using Windows' built-in search functionality. It can't find anything and is slower than me finding memory bugs. I would rather learn combinatorics again than use Windows search. And that is one of the reasons I wanted to try out a Linux distro. As a young, manipulative, and inexperienced college student, I chose the most hyped distro — Omarchy. So, I built in another SSD in my laptop, downloaded the ISO, and installed Omarchy. I already had a Linux Mint install before with i3 and a really nice Neovim config, and I wiped the whole thing for this new OS. First impressions: WOW, this is so much better than i3 — the animations, the colors, everything looked perfect. After a few days, I realized something was missing: I don’t wa…  ( 7 min )

As a React Native and MERN developer, I recently integrated SonarQube into my local workflow using Docker. Here's a straightforward guide to get you started. SonarQube automatically scans your code to find: Bugs and potential errors Security vulnerabilities Code smells (maintainability issues) Test coverage gaps Duplicate code Install Docker Desktop: brew install --cask docker Open Docker Desktop from Applications and make sure it's running. Create docker-compose.yml in your project root: services: sonarqube: image: sonarqube:community container_name: sonarqube-local ports: - "9000:9000" environment: - SONAR_ES_BOOTSTRAP_CHECKS_DISABLE=true volumes: - sonarqube_data:/opt/sonarqube/data - sonarqube_extensions:/opt/sonarqube/extensions - …  ( 8 min )

There are two types of Models/LLMs you see in today's Agentic world: "SaaS-based Models", which are Models that are managed for you (Claude, Gemini, GPT, etc.) Local Models, which you manage yourself. From a security, governance, and overall data control perspective, some organizations want to go with local Models. In this blog post, you'll learn how to manage and deploy a local Model using Kubernetes primitives and kagent. To follow along with this blog post in a hands-on fashion, you should have the following: A Kubernetes cluster. If you're using a local cluster, ensure that your local machine has enough CPU/memory for a more resource-intensive environment. An Anthropic API key. If you don't have one and/or prefer to use another AI provider, there are several providers supported by kage…  ( 8 min )

Understanding the AI Bubble The "AI bubble" refers to a period of inflated hype, valuations, and investment in artificial intelligence technologies. A phenomenon that historically contracts when expectations outpace reality. We have seen this pattern before with the dot-com bubble of the late 1990s and the blockchain craze of 2017-2018. The current AI fervor centers on one audacious promise: Artificial General Intelligence (AGI)—a system that could theoretically solve all problems. The logic seems circular: if we weren't intelligent enough to solve our current problems, how will we create something that solves all problems? Yet this promise has driven unprecedented investment. The financial stakes are staggering. AI startups require massive upfront capital—data centers, specialized hardw…  ( 11 min )

Here is the updated, self contained article with the throttler explanation folded in, plus a short review checklist at the end. Concurrency control is about letting enough work run in parallel for good throughput, without letting everything run at once and overloading a resource. SemaphoreSlim is the simplest async friendly tool for that job. This guide is practical, production oriented, and closes with a comparison against the other synchronization primitives you will meet in .NET. SemaphoreSlim is A counting gate that allows up to N callers to enter at the same time. It lives in process memory, supports WaitAsync, and is lighter than kernel primitives. Use it to limit concurrency around I O bound work, for example HTTP calls, database work, file system operations, or any throttled exte…  ( 11 min )

Predicting Vehicle Depreciation with Machine Learning and Environmental Intelligence NicsAutomotive Co.'s global operations, sustainability has evolved beyond compliance — it is now a core driver of innovation, efficiency, and long-term value creation. As the Lead Sustainability Project Manager, I work at the intersection of engineering, data, finance, and supply chain divisions to design and implement sustainable strategies that optimize both environmental performance and financial outcomes to embed sustainability into every decision we make. My mandate is to leverage data-driven intelligence to uncover new ways of optimizing product performance and financial resilience. As climate patterns become increasingly unpredictable, businesses must anticipate not react to, environmental risk. Th…  ( 9 min )

Everything Wrong With Sinners In 15 Minutes Or Less is CinemaSins’s latest Halloween special, where they gleefully “sin” what they call one of the greatest genre films ever. Expect rapid-fire jokes, self-aware nitpicking, and all the playful camera sins you’ve come to love from the channel. Want more? Head over to cinemasins.com (or catch their other YouTube channels @TVSins, @commercialsins and @CinemaSinsPodcastNetwork), join their Discord or Reddit community, fill out their quick poll, and consider supporting the team on Patreon. You can also find them on Instagram, TikTok, Twitter (Jeremy, Aaron, Jonathan, Deneé, Ian, Chris and Daniel all have handles) and grab Jeremy’s book for even more sin-filled goodness. Watch on YouTube  ( 6 min )

Everything Wrong With Thunderbolts* In 20 Minutes Or Less CinemaSins takes on Marvel’s newest team-up flick, ticking off every nitpick and plot hole in under 20 minutes—while sneakily admitting the movie might actually be…pretty fun. Expect their signature snark, visual “sins” counter and a few self-aware jokes about whether it’s actually great or just us being nice. Along the way they plug their full site (CinemaSins.com), YouTube spin-off channels (@TVSins, @CommercialSins), a sinful poll and Patreon support, plus a Discord, Reddit community and all the socials where their writing team (Jeremy, Chris, Aaron, Jonathan, Deneé, Ian, Daniel) hangs out. Watch on YouTube  ( 6 min )

Meme recap: Old security checks IDs. EnvSecOps checks IDs and the bag—the actual execution environment. This post pins down what EnvSecOps is, where it sits next to DevOps/DevSecOps, and why it closes the door those frameworks leave open. DevOps: ship faster (automation, reliability). DevSecOps: ship safer code (shift-left testing, compliance). EnvSecOps: only issue credentials when the environment proves it’s policy-approved right now—and keep re-verifying on renewal. If the bag mutates, the token dies. EnvSecOps secures where work is performed (dev, CI/CD, ops terminals) instead of assuming those machines are clean. Platform examples: Kubernetes (pods, service accounts, namespaces) and cloud IAM. Identity: OIDC for humans/CI; SPIFFE/SPIRE for workloads. Evidence: Signed attestations (ima…  ( 8 min )